Page Not Found

Sorry, we could not find the page you were looking for

Venue & Accommodations

Links in this section: Venue | Accommodations | Getting Around

ISCB Code of Ethics and Professional Conduct

Click here for a pdf of the Code of Ethics and Professional Conduct

As the Articles of Incorporation of the International Society for Computational Biology (ISCB) state that the objective of the Society shall be to promote the application of computational methods to problems of biological significance. Themission of the Society is to advance understanding of living systems through computation and to communicatethosescientific advances worldwide. These goals demand honesty and truthfulness in all activities sponsored or supported by the Society.

Science is best advanced when there is mutual trust, based upon honest behavior, throughout the community. Our scientific Society thus expects all our members to adhere to the highest standards of honesty and integrity in all theiractions, whether inside or outside ISCB. Honesty must be regarded as the cornerstone of ethics in science. Professional integrity in the formulation, conduct, interaction, and reporting of bioinformatics and computational biology activities reflects not only on the reputation of individuals and their organizations, but also on the image and credibility of the profession as perceived by scientific colleagues, government and the public. It is important that the tradition of ethical behavior be carefully maintained and transmitted with enthusiasm to future generations.

Each researcher, practitioner, technician, student, and supplier within the field is a citizen of the community of science. Each shares responsibility for the welfare of this community. The guiding principles set forth in this ISCB Code of Ethics and Professional Conduct are meant to protect the community of science. The guidelines are not meant to be a complete list of all ethical issues. They may be modified and amplified by events and experience. Society members have an individual and a collective responsibility to ensure that there is no compromise with these guidelines.

Guiding Principles

ISCB members

Aim to uphold and advance the integrity and dignity of the profession and practice of bioinformatics and computational biology.
Aspire to use their knowledge and skills for the advancement of life sciences and human welfare.
Strive to increase the competence and prestige of the profession and practice of bioinformatics and computational biology by responsible action and by sharing the results of their research through academic and commercial endeavors, or by public service.
Seek to maintain and expand their professional knowledge and skills.
Respect professional Codes of Ethics and abideby the prevailing ethical and legal norms of their profession.
Endeavor for objectivity in their professional activities through recognition, acknowledgment, and mitigation of intentional and unintentional biases.
Adhere to the highest standards of publication ethics in line with those documented by the Committee on Publication Ethics (https://publicationethics.org). This includes but is not limited to: timely and accurate reporting of findings; full disclosure of author contributions, sources of financial support, and any potential conflicts of interest; fair and objective peer-review.
Act responsibly, honestly, and respectfully toward colleagues, government, corporate sponsors, the wider health care community and the public at large. Build public trust through accountability.
Foster fair participation of all people, including those of underrepresented groups in all of the Society’s activities and at all levels of its organization. Prejudicial discrimination on the basis of age, color, disability, ethnicity, family status, gender identity, labor union membership, military status, nationality, race, religion or belief, sex, sexual orientation, or any other inappropriate factor is an explicit violation of the Code. Harassment, including sexual harassment, bullying, and other abuses of power and authority, is a form of discrimination that, amongst other harms, limits fair access to the virtual and physical spaces where such harassment takes place.
Treat colleagues and researchers with respect and courtesy, based on principles of equality and mutual respect for those with differing worldviews or from different cultures. Share research results and ideas honestly, giving proper credit for others' contributions to their work.

Professional Conduct

ISCB member

Maintain professional competence by advancing their knowledge and understanding of new scientific developments and emerging areas of practice through ongoing education and training.
Educate employees, students, and professionals to follow responsible research practices consistent with the highest ethical standards. Treat trainees with respect and provide them with opportunities for professional growth and development.
Share knowledge in research, practice, and ethics through publication, professional meetings and conferences, and foster collaborations. Meet applicable ethical and legal standards while collaborating
Foster public understanding of the nature and objectives of bioinformatics and computational biology consistent with open and responsible use of findings in science and health care.
Strive for objectivity in their professional activities through recognition, acknowledgment, and mitigation of intentional and unintentional biases.
Respect the confidential nature of all information and research data entrusted to them. Disclose information with proper and specific authority through the consent of the individual or where there is a legal, ethical or professional right or duty to disclose.
Claim expertise only in areas where they have the necessary depth of knowledge, especially when contributing to public discussion or policy debate. Do not make statements that are false, deceptive, or fraudulent concerning research, practice, or other work activities, or those of persons or groups with whom they are affiliated. Present personal opinions as such and not as those of the Society.
Disclose any potential conflicts of interest. Safeguard the quality and credibility of their professional judgment.
Report findings, including negative findings, accurately, completely, without distortion and in a timely manner.
Refrain from demeaning, discriminatory, or harassing behavior,conduct and speech. Make ISCB a place that is welcoming and respectful to all participants, regardless of race, gender, gender identity, age, sexual orientation, disability, physical appearance, national origin, ethnicity, or religion. Examples of demeaning, discriminatory, or harassing behavior, conduct and speech are:

Any action directed at an individual that (a) interferes substantially with that person’s participation; or (b) causes that person to fear for his/her personal safety. This includes threats, intimidation, bullying, stalking, or other types of abuse.
Any conduct that discriminates ordenigrates an individual on the basis of race, ethnicity, religion, citizenship, nationality, age, sexual or gender identity, disability, or any other characteristic protected by law.
Unwelcome sexual advances, requests for sexual favors, or other verbal/physical conduct of a sexual nature, for example:

Unwelcome advances or propositions, particularly when one individual has authority over the other;
Nonconsensual touching of an individual’s body;
Unwelcome remarks on superficial aspects not related to the work at hand (e/g a person’s appearance”);
Using an activity-related communication channel to display or distribute sexually explicit images or messages

Demonstrate professionalism and collegiality in ISCB activities and communications, including committees, task forces, forums, and events, at all times avoiding abusive, racist, sexist, harassing, or threatening speech and/or behavior towards any other ISCB volunteer, staff, contractor, member, or event participant.

The Code of Ethics and Professional Conduct applies to all participantsof all ISCB related activities, including:

Conferences, affiliated groups, communities of special interest (COSIs), workshops, and events sponsored, co-sponsored, or in cooperation with;
Exchanges among committees or other bodies associated with ISCB
Communication sent through ISCB communication channels and associated social media
Communications of press/media pass holders who are communicating through their own blogs/communication platform while in attendance of ISCB events or activities

Our goal is to foster a culture that creates a safe and open working environment for all who are participating in ISCB activities, conferences, and programs. While ISCB is not an adjudicating body, ISCB has appointed Ombudspersons who can be consulted, give advice or help seek out appropriate authorities to further handle any form of harassment or assault.

In matters directly related to alleged acts of misconduct as it relates to the ISCB Ethics and Professional Code of Conduct that take place within the purview of ISCB, ISCB is committed to listening to and addressing complaints and to guiding complainantsthrough options confidentially before the complainantdecides how to proceed.This includesISCBconsulting on details for potential informal solutions or a formal complaint. The ISCB Ombudspersons can be approachedand if necessary outside counsel or consultation may be sought.

Click here for a pdf of the Code of Ethics and Professional Conduct

- top -

Co-Host

Silver Sponsors

General Sponsors

- top -

POSTERS SCHEDULE

Links within this page*: DREAM Schedule | RSG Schedule | Poster Schedules
*Proposed Programs. Agendas subject to change.

Click here to download a pdf of the program

DREAM Poster Session - Saturday, 6:00 pm - 7:00 pm
Location: Smilow Meeting Rooms

RSG Poster Session Odd Numbers - Sunday, 5:30 pm - 7:00 pm
Location: Smilow Meeting Rooms

RSG Poster Session Even Nembers - Monday, 5:30 pm - 7:00 pm
Location: Smilow Meeting Rooms

Presenters:
If you are in DREAM Session, you may set up your poster any time between 8:30 am and Noon on Saturday and must remove your poster by 8pm on Saturday. All remaining posters will be discarded.
If you are in the Odd Number Session, you may set up your poster any time between 8:30 am and Noon on Sunday and must remove your poster by 8pm on Sunday. All remaining posters will be discarded.
If you are in the Even Number Session, you may set up your poster any time between 8:30 am and Noon on Monday and must remove your poster by 8pm on Monday. All remaining posters will be discarded.

Poster Display Size: - When preparing accepted posters please note that your poster should not exceed the following dimensions: 46 inches wide by 45 inches high. There will be 2 posters per side on the each poster board.

As of November 12, 2018. Subject to change without notice.

RSG Posters Schedule
RSG Posters - Click here for poster abstracts
Go directly to: DREAM Posters
#	Author(s)	Title
1	Sombeet Sahu	Methods for Identifying Tumor Heterogeneity and Rare Subclones in Single Cell DNA Sequence Data
2	Sridhar Hariharaputran and Ramanathan Sowdhamini	PASS2nets: Building Networks of Distantly Related Protein Domains
3	German Bernate, Francisco Barajas, Marcia Hiriart and Myrian Velasco	Gene coexpression network for voltage-dependent potassium channels Kv2 in Beta cells across developmental stages
4	Phit Ling Tan, Yosvany Lopez, Kenta Nakai and Ashwini Patil	TimeXNet Web: Identifying cellular response networks from diverse omics time-course data
5	Duygu Ucar	Chromatin accessibility signatures of immune system aging differ between men and women
6	Helen Tung and Uri David Akavia	Using Protein Localization Studies to Improve Genome-scale Metabolic Models
7	Ankeeta Shah and Yang I Li	Imputing the effects of genetic variation on mRNA splicing in rare human samples
8	Anders Wallqvist, Jaques Reifman, Venkat Pannala, Kalyan Vinnakota, Martha Wall, Shanea Estes, Tracy O’brien, Richard Printz, Masakazu Shiota, Jamey Young and Irina Trenary	Metabolic network-based predictions of toxicant-induced metabolite changes in the laboratory rat
9	Soo Jun Park, Soo Young Cho and Young Seek Lee	Bio Network Visualization and Analysis from Text Mining Data
10	Hokeun Sun and Kipoong Kim	Incorporating genetic networks into case-control association studies with high-dimensional DNA methylation data
11	Emily Ackerman and Jason Shoemaker	Virus-Directed Disruption of PPI Network Control
12	Florian Schmidt, Alexander Marx, Jonathan Goeke, Jilles Vreeken and Marcel Schulz	A supervised method for enhancer identification and linkage to target genes
13	Nimrod Rappoport and Ron Shamir	NEMO: A new algorithm for cancer subtyping by multi-omic clustering
14	Rayan Daou, Edgar Wingender and Martin Haubrock	TFInvestigator: A tool for constructing temporal transcriptional cascades applied to cardiac development
15	Anne Heintzelman, Xiangying Mao and Clint Chapple	Site directed mutagenesis suggests that phosphorylation plays a role in the function of a dominant MED5 mutation in Arabidopsis
16	Yuelin Liu and Lenore Cowen	Improving Gene Prioritization Algorithms Using Diffusion State Distance-Preprocessed Protein Networks
17	Jennifer Hammelman and David Gifford	Variational Autoencoder learns representative chromatin accessibility profiles and makes accurate binding predictions at motif sites
18	Jason Lin, Atsushi Takatori, Paul Horton and Hiroki Nagase	Chem-seq: Evaluation of Genomewide Binding Effects of DNA Minor Groove-Binding Pyrrole Imidazole Polyamides
19	Francesca Finotello, Clemens Mayer, Christina Plattner, Gerhard Laschober, Dietmar Rieder, Hubert Hackl, Anne Krogsdam, Zuzana Loncova, Wilfried Posch, Doris Wilflingseder, Sieghart Sopper, Marieke Ijsselsteijn, Douglas Johnson, Yaomin Xu, Yu Wang, Melinda E. Sanders, Monica V. Estrada, Paula Ericsson-Gonzalez, Justin Balko, Noel de Miranda and Zlatko Trajanoski	quanTIseq: portraying the tumor immune contexture through RNA-seq data deconvolution
20	Giulio Ferrero, Francesca Cordero, Sonia Tarallo, Gaetano Gallo, Antonio Francavilla, Giuseppe Clerico, Alberto Realis Luc, Paolo Manghi, Andrew Thomas, Paolo Vineis, Nicola Segata, Barbara Pardini and Alessio Naccarati	Gut microbiome composition and small RNA spectra in human stool for colorectal cancer detection
21	Christian Holland, Bence Szalai, Luz Garcia-Alonso and Julio Saez-Rodriguez	Unveiling of conserved transcriptomics perturbation signatures in mice and human
22	Steffan Paul, Peter Koo and Sean Eddy	Inferring RNA Secondary Structures from Homologous RNA Sequences with Deep Neural Networks
23	Mikel Hernaez and Olivier Gevaert	Comparison of single and module-based methods for modeling gene regulatory networks
24	Joanna Handzlik and Manu Manu	Predictive Modeling of Signal Processing by Hematopoietic Gene Regulatory Networks
25	Han Yuan, Meghana Kshirsagar, Lee Zamparo, Yuheng Lu and Christina Leslie	BindSpace: decoding transcription factor binding signals by large-scale joint embedding
26	Xu Shi, Daifeng Wang and Mark Gerstein	Single cell deconvolution reveals that the cell fractions vary across brain disorders and human aging
27	Yuri Pritykin and Christina Leslie	A unified genome-wide analysis of dysfunctional T cell states in cancer and chronic viral infection
28	Felicia Kuperwaser, Gal Avital, Tara Randis, Adam Ratner and Itai Yanai	Revealing the Spatiotemporal Dynamics of Placental Group B Streptococcus Infection using scRNA-Seq and Spatial Transcriptomics
29	Jing Zhang, Jason Liu, Donghoon Lee, Jo-Jo Feng, Lucas Lochovsky, Shaoke Lou, Michael Rutenberg-Schoenberg and Mark Gerstein	RADAR: Annotation and prioritization of variants in the post-transcriptional regulome of RNA-binding proteins
30	Nhuong Nguyen, Saulius Lukauskas, Peter Faull, Helen Flynn, Bram Snijders, Peter DiMaggio and Till Bartke	Decoding chromatin regulation through data mining and chromatin proteomics
31	Francesca Cordero, Jessica Giordano, Simone Pernice, Roberta Sirovich, Maddalena Arigoni, Jessica Erriquez, Marco Beccuti, Martina Olivero, Maria Flavia Di Renzo and Raffaele Calogero	CONNECTOR: fitting and clustering analysis of biological growth data
32	Peilin Jia, Guangsheng Pei and Zhongming Zhao	CNet: detecting clinically associated, combina-tory genomic signatures
33	Mengting Gu, Anurag Sethi, Emrah Gumusgoz, Joel Rozowsky, Kevin Yip, Richard Sutton and Mark Gerstein	A framework for supervised enhancer prediction with epigenetic pattern recognition and targeted validation across organisms
34	Denise Duma and Yuval Itan	Deep learning applications to explore and classify high-dimensional feature spaces of millions of genetic variants
35	Mehmet Eren Ahsen, Alexandar Grishen, Yoojin Chun, Galina Grishina, Gustavo Stolovitzky, Gaurav Pandey and Supinda Bunyanovich	Regulatory network analyses to identify transcription factor regulators of disease biomarkers
36	German Novakovsky, Wyeth Wasserman, Sara Mostafavi, Artem Cherkasov, Francis Lynn, Paul Pavlidis and Nathaniel Lim	Small molecules for human embryonic stem cells differentiation
37	Rani Powers, Harrison Pielke-Lombardo, Andrew Goodspeed, Aik-Choon Tan and James Costello	GSEA-InContext: Leveraging biological context to extract and prioritize pathway alterations in transcriptomics experiments
38	Robert Vogel, Mehmet Eren Ahsen and Gustavo Stolovitzky	An Optimal Combination of Computational Systems Biology Predictions: the MOCA algorithm
39	Ngoc Tu Le and Hidetoshi Saze	Learning genetic determinants of plant epigenome by convolutional neural network
40	Rasmus Magnusson, Andreas Tjärnberg and Mika Gustafsson	LIPLIKE: LInear Profile LIKElihood parameter identification for inference of high gene regulatory networks from ‘omics data
41	Patrick Martin and Nicolae Radu Zabet	ChIPanlayser: A Mechanistic Approach to Transcription Factor Binding prediction in Drosophila
42	Chayaporn Suphavilai, Ankur Sharma, Lorna Tu, Shumei Chia, Ramanuj Dasgupta and Niranjan Nagarajan	Predicting cancer drug response in silico for targeting tumor heterogeneity
43	Anirban Dutta, Tungadri Bose, Chandrani Das and Sharmila Mande	Hypoxic adaptation of Mycobacterium tuberculosis: An in silico Investigation of cross-talk between mycobacterial metabolism, gene-regulation and host-pathogen interactions
44	Pablo Meyer, Robert Vogel, Gustavo Stolovitzky, Luís Santos, Jerry Chipuk and Marc Birtwistle	DEPICTIVE : A strategy for the quantitative discovery of sources of cell-to-cell variability
45	Nha Nguyen and Kyoung Jae Won	Calculation of half-life using nascent and mature RNAseq identifies that anti-diabetic rosiglitazone regulates mRNA dynamics to regulate PPARg target
46	Michael Peeri and Tamir Tuller	High resolution analysis of the selection on local mRNA folding strength in protein-coding sequences across the tree of life
47	Andrea Rau, Flaminia Zane, Gilles Monneret, Pascal Fieth, Alexander Hartmann, Florence Jaffrézic and Gregory Nuel	Laplace approximation for inferring causal directed acyclic structures in gene regulatory networks
48	Amel Bekkar, Julien Dorier, Isaac Crespo, Cristina Casal, Anne Estreicher, Anne Niknejad, Alan Bridge and Ioannis Xenarios	Predicting therapeutic targets for cardiovascular disease using logical modeling
49	Randie Kim, Sofia Nomikou, Zarmeena Dawood, Nicolas Coudray, George Jour, Una Moran, Jeffrey S. Weber, Narges Razavian, Richard Shapiro, Russell Berman, Iman Osman and Aristotelis Tsirigos	Using Deep Learning on Histopathology Images to Predict the Presence of BRAF Driver Mutation
50	Tejaswi Badam, Mika Gustafsson and Zelmina Lubovac	Genomic Concordance in Omic Disease Modules: key factor for understanding Complex diseases
51	Jukka Intosalmi, Henrik Mannerstrom, Saara Hiltunen and Harri Lähdesmäki	Hierarchical regression model to detect dependencies in single cell RNA-seq and multi-omics read count data
52	Gal Avital, Felicia Kuperwaser and Itai Yanai	Revealing the hallmarks of host-pathogen interactions across distinct bacterial infections using scDual-Seq
53	Dongwon Lee, Ashish Kapoor, Changhee Lee, Michael Mudgett, Michael Beer and Aravinda Chakravarti	Predicting and correcting the sequence effects of DNA tags on massively parallel reporter assays
54	Mackenzie Hastings, Konstantinos Theofilatos and Seferina Mavroudi	Combining Network Theory and Machine Learning to Identify a Diagnostic and Prognostic Biosignature for Glioblastoma
55	Norma Alejandra Vergara Lope Gracia	Fine-scale linkage disequilibrium structure of non-coding RNAs, genic and sub-genic sequences
56	Kihyun Lee, Hyunwoo Cho, Robert Rickert, Qing Li, Julian Pulecio, Christina Leslie and Danwei Huangfu	FOXA2 is required for enhancer priming during pancreatic differentiation
57	Yang Chen, Yuping Zhang and Zhengqing Ouyang	Fast and accurate reconstruction of cell trajectory and pseudo-time for massive single cell RNA-seq data
58	Chloe Steen, Chih Long Liu, Andrew Gentles, Aadel Chaudhuri, Florian Scherer, Michael Khodadoust, Mohammad Esfahani, Bogdan Luca, David Steiner, Maximilian Diehn, Ash Alizadeh and Aaron Newman	High-throughput tissue dissection and cell purification with digital cytometry
59	Feng Bao, Yandong Zhang, Long Cai and Guo-Cheng Yuan	DNA seqFISH resolves E. coli chromosome structure during cell replication.
60	Giacomo Baruzzo, Giovanni Finco, Francesco Morandini, Piergiorgio Alotto and Barbara Di Camillo	MAST: A MULTI-AGENT BASED SPATIO-TEMPORAL MODEL OF THE INTERACTION BETWEEN IMMUNE SYSTEM AND TUMOR GROWTH
61	Thu Chu, Rui Qin, Jonathan Chung, Deepika Dhawan and Lara Mahal	High Throughput Cell Microarray for Mapping miRNA:Protein Interactomes
62	Yuping Zhang, M. Henry Linder, Ali Shojaie, Zhengqing Ouyang, Ronglai Shen, Keith Baggerly, Veerabhadran Baladandayuthapani and Hongyu Zhao	Dissecting Pathway Disturbances Using Network Topology and Multi-platform Genomics Data
63	Maziyar Baranpouyan, Abha Bais and Dennis Kostka	BGCLUST: Clustering large single-cell RNA-seq datasets
64	Yann Ilboudo, Melanie Garrett, Allison Ashley-Koch, Marilyn Telen and Guillaume Lettre	Metabolite signatures of organ dysfunction in sickle cell disease patients
65	Giacomo Baruzzo, Ilaria Patuzzi and Barbara Di Camillo	SPARSim Single Cell: a count data simulator for single cell RNA-seq data
66	Xiao Li, Jose Munoz and Christina Cuomo	Title: FunPipe: a python library for efficient construction of fungal genomic pipelines
67	Qi Song and Song Li	Accurate prediction of regulatory maps in Arabidopsis by integrating DAP-seq, ATAC-seq and single cell sequencing data
68	Daria Kogut and Jaroslaw Smieja	Modeling of signaling pathway regulation and their response with presence stresogenic factors.
69	Nam Nguyen, Ian Blaby and Daifeng Wang	ManiNetCluster: A manifold learning approach to reveal the functional linkages across multiple gene networks
70	Anastasia Shcherban, Juha Kesseli and Matti Nykter	Analysis of tissue specific regulatory programs with chromatin accessibility data and binding motif models
71	Zhicheng Ji, Weiqiang Zhou and Hongkai Ji	Single-cell ATAC-seq Signal Extraction and Enhancement with SCATE
72	Yue Wu, Ali Pazokitoroudi and Sriram Sankararaman	Scalable estimation of heritability and genetic correlation for biobank-scale data
73	Lee Zamparo, Han Yuan, Meghana Kshirsagar and Christina Leslie	Better decoding of TF signals in accessible chromatin with learned embeddings and neural networks
74	Matthew Madgwick, Padhmanand Sudhakar and Tamas Korcsmaros	Identification of prognostic indicators of healthy ageing with a machine learning based systems biology approach using gut microbiome data
75	David Detomaso, Matthew Jones, Tal Ashuach, Meena Subramaniam, Chun J Ye and Nir Yosef	Functional Interpretation of Single-Cell Similarity Maps
76	Sujeethraj Koppolu and Bin Zhang	A High-Performance Multi-Classifier System Using Hybrid-Overlay Features to Predict miRNA:Protein Interactions
77	Meghana Kshirsagar, Han Yuan, Lee Zamparo and Christina Leslie	Topic-models for learning epigenetic profiles jointly from SELEX and ATAC-seq
78	Irina Medvedeva, Matthew Stokes, Peter Schafer and Robert Yang	Cross-trial meta- and time-series pharmacodynamic analyses of Apremilast effect
79	Naomi Yamada, Nina Farrell, B. Franklin Pugh and Shaun Mahony	Analysis of ChIP-exo read profiles reveals spatial organizations of protein complexes
80	Angelina Volkova and Kelly Ruggles	Predictive Metagenomic Analysis of Autoimmune Disease
81	Sukanya Panja, Sheida Hayati, Nusrat Epsi, James Scott Parrott and Antonina Mitrofanova	Predictive analysis of response to androgen-deprivation in prostate cancer
82	Jonathan Scheiman, Jacob Luber, Theodore Chavkin, Tara MacDonald, Angela Tung, Loc-Duyen Pham, Marsha Wibowo, Renee Wurth, Sukanya Punthambaker, Braden Tierney, Zhen Yang, Mohammad Hattab, Sarah Lessard, George Church and Aleksandar Kostic	Discovery and Validation of a Gut Microbiome that Improves Athletic Performance
83	Cigdem Sevim Bayrak and Yuval Itan	Predicting Gain-of-Function and Loss-of-Function Mutations
84	Kamil Slowikowski, Hung N Nguyen, Gerald F M Watts, Fumitaka Mizoguchi, Erika H Noss, Michael B Brenner and Soumya Raychaudhuri	Finding transcriptional regulators central to rheumatoid arthritis with transcriptomics of IL-17 dose response, time series, and siRNA silencing in stromal cells
85	Marissa Sumathipala, Marc Santolini and Amitabh Sharma	miRNA-based Disease Subtyping by integrating miRNAome and Interactome
86	Divyanshi Srivastava, Milica Bulajić, Shaun Mahony and Esteban Mazzoni	Co-factor driven landscapes define Hox TF binding in motor neuron subtype specification
87	Naoki Osato	Discovery of biased orientation of DNA motif sequences affecting enhancer-promoter interactions and transcription of genes
88	Da-Inn Lee and Sushmita Roy	Discovering structural units of chromosomal organization with graph-regularized non-negative matrix factorization
89	Kabir Manghnani, Adam Drake and Nathan Wan	GENE-ML: GENomic Embedding via Metric-Learning
90	Byungwook Lee, Gunhwan Ko and Pan-Gyu Kim	Bio-Express: Bioinformatics workflow system for massive genomic sequencing data analysis
92	Reuben Moncada, Florian Wagner, Marta Chiodin, Joseph Devlin, Maayan Baron, Cristina Hajdu, Diane Simeone and Itai Yanai	Building a tumor atlas: integrating single-cell RNA-Seq with spatial transcriptomics in pancreatic ductal adenocarcinoma
93	Alexander Sasse and Quaid Morris	Inferring RNA binding specificities from protein sequences by joint matrix factorization
94	Yiming Wu, Aayushee Jain and Yuval Itan	Identifying disease-causing mutations, genes and pathways in exomes of Ashkenazi Jewish inflammatory bowel disease patients
95	Darya Stepanenko and Ye Zhang	Alternative mechanical way to track the path of cancer cells
96	Evgeni Nikolaev and Eduardo Sontag	Immunobiochemical Reconstruction of Influenza Lung Infection - Melanoma Skin Cancer Interactions
97	Almudena Espin-Perez, Bogdan Luca, Aaron Newman and Andrew Gentles	Pan-cancer analysis of distant metastasis in the context of node-positive and node- negative disease
98	Aaron Solomon and Daphne Ezer	TissueTimer: temporal and tissue-ratio estimation from bulk RNA-sequencing samples
99	Xiangying Mao, Vikki Weake and Clint Chapple	Mutation of Mediator subunit CDK8 counteracts the stunted growth in an Arabidopsis MED5 mutant
100	Yungang Xu, Weiling Zhao, Scott D. Olson, Karthik S. Prabhakara and Xiaobo Zhou	Alternative splicing links histone modifications to stem cell fate decision
101	Elise Flynn, Stephane Castel, Pejman Mohammadi and Tuuli Lappalainen	Tissue-variability of regulatory variant effects and the role of transcription factors
102	Robin Browaeys, Wouter Saelens and Yvan Saeys	NicheNet: Modeling intercellular communication by linking ligands to target genes
103	Juliana Machado, Ramiro Magno, Joana M. Xavier and Ana-Teresa Maia	Uncovering alternative splicing cis-regulation in breast cancer risk
104	Sivan Gershanov, Igor Vainer, Albert Pinhasov, Helen Toledano, Nitza Goldenberg-Cohen and Mali Salmon-Divon	Using machine learning algorithms for classification of medulloblastoma subgroups based on gene expression data
105	Sne Morag and Mali Salmon-Divon	Characterization of different cell types using Benford law
107	Wenpin Hou, Zhicheng Ji, Dongwon Lee, Suchi Saria and Aravinda Chakravarti	Causal Gene Regulatory Network Construction using Single-cell RNA-seq and Single-cell ATAC-seq data
108	Husam Abdulnabi and Tim Westwood	Exploring the Roles of Drosophila Heat Shock Factor in Stress and Development
109	Jimena Monzón-Sandoval, Elena Burlacu, Zameel Cader, Sally Cowley and Caleb Webber	Cell type specific response: LPS time course in co-cultured iPSC derived neurons and microglia
110	George Rosenberger, Moritz Heusel, Ruedi Aebersold and Andrea Califano	SECAT: High throughput quantitative protein complex profiling
111	Leandro Balzano Nogueira, Ricardo Ramirez, Tatyana Zamkovaya, Jordan Daley, Alexandria Ardissone, Srikar Chamala, Desmond Schatz, Mark Atkinson, Michael Haller, Patrick Concannon, Eric Triplett and Ana Conesa	Multiblock integration of transcriptomics and metabolomics to study Type 1 Diabetes progression
112	Alyssa Morrow, Dharmeshkumar Patel, James Kaminski, John W. Hughes, Nick Haining, Bruce R. Blazar and Nir Yosef	Epigenetic footprinting in T cells and fibroblasts from reprogrammed inducible pluripotent stem cells
113	Gabriela Pregernig, Matthew Nguyen, Kathy So, Joseph Burns and Adam Palermo	Inference of spatial cell type patterns in the adult mouse cochlea through single cell RNA-Seq doublet deconvolution
114	Guray Kuzu, Matthew J. Rossi, Naomi Yamada, Chitvan Mittal, William K.M. Lai, Nitika Badjatia, Gretta Kellogg, B. Franklin Pugh and Shaun Mahony	Topic modeling enables identification of regulatory complexes in a comprehensive epigenome
115	Joseph R Boyd, Joshua T Rose, Jonathan Ar Gordon, Seth Frietze, Sayyed K Zaidi, Janet L Stein, Jane B Lian and Gary S Stein	Per peak strand cross- correlation as a peak call refinement metric.
116	Peter Banda, Venkata Pardhasaradhi Satagopam and Reinhard Schneider	Ada: The Clinical and Translational Data Integration and Analysis Platform with Scalable Machine Learning
117	Tejaswi Badam, Mika Gustafsson and Zelmina Lubovac	Omic Network Modules as tools for Personalized cancer chemotherapy in Non-Small Cell Lung Cancer
118	Sofia Esteban Serna	Genetic Diagnosis of Heterogeneous Conditions Applying Targeted Gene Capture and Next-generation Sequencing
119	Syed F Ahmad, Diogo C Cabral-de-Mello, Patrícia Parise-Maltempi, Vladimir P Margarido, Rachel O’Neill, Guilherme T Valente, Cesar Martins	The integrative genomics and bioinformatics analysis unveil the genetic contents and evolutionary origin of B chromosomes.
120	Damian Wojtowicz , Dong-Yeon Cho , Hangnoh Lee , Steven Russell, Brian Oliver and Teresa M. Przytycka	Interplay between copy number, dosage compensation and expression noise in Drosophila asite
- top -
DREAM Posters Schedule
DREAM Posters - Click here for poster abstracts
Go directly to: RSG Posters
#	Author(s)	Title
2	Imane Nedjar, Saïd Mahmoudi and Mohammed Amine Chikh	Topological methods for mammographic images classification: The Digital Mammography DREAM Challenge 2017
3	Shibiao Wan, Junil Kim and Kyoung Jae Won	Hyper-fast and accurate processing of large-scale single-cell transcriptomics data via ensemble random projection
4	Sage Davis, Geoffrey Siwo, Pablo Meyer, Katrina Button-Simons, Lisa Checkley-Needham, François H Nosten, Timothy J.C. Anderson, Gustavo Stolovitzky and Michael T Ferdig	DREAM of Malaria: Predicting Drug Resistance in an Apicomplexan Parasite
5	Gaurav Bhatti, Roberto Romero and Adi L. Tarca	Combining single-cell expression matching to insitu data and proximity analysis: an approach to the DREAM Single Cell Transcriptomics Challenge
6	Hasiba Asma	U-Be Dreamin
7	Jiajie Peng, Xiaoyu Wang and Xuequn Shang	Combining Gene Ontology and Protein-Protein Interaction Information to Reconstruct the location of Single Cells in the Drosophila Embryo
8	Nestoras Karathanasis, Phillipe Loher and Isidore Rigoutsos	SCTC Challenge DeepCMC Submission
9	Minji Jeon, Donghyeon Park, Jinhyuk Lee, Hwisang Jeon, Miyong Ko, Jaewoo Kang and Aik-Choon Tan	ReSimNet: Drug Response Similarity Prediction based on a Siamese Neural Network
10	Jianhua Ruan and Maryam Zand	Spatial mapping of single cells in the Drosophila embryo using single-cell transcriptomic data

- top -

ORAL PRESENTATIONS SCHEDULE

Links within this page*: DREAM Schedule | RSG Schedule | Poster Schedules
*Proposed Programs. Agendas subject to change.

Click here to download a pdf of the program

DREAM Schedule
Saturday - Day 1 – December 8, 2018 - Click here to view DREAM abstracts
Go directly to: Sunday, Dec 9 - Monday, Dec 10
START TIME	END TIME	SESSION TYPE
REGISTRATION 8:00am - 5:00pm Location: Science Building, top of the stairs
All DREAM Day talks to occur in Schwartz Lecture Hall
8:40 am	9:00 am	Welcome and Introductory Remarks. Pablo Meyer and Gustavo Stolovitzky
Submitted Abstracts Chair: Pablo Meyer
9:00 am	9:15 am	Mi Yang Target functional similarity based workflows for drug synergy prediction and stratification
9:15 am	9:30 am	Lenore Cowen The Disease Module Identification DREAM Challenge: An Update
9:30 am	9:45 am	Michael Banf Enhancing gene regulatory network inference through data integration with markov random fields
9:45 am	10:25 am	Keynote - Daphne Koller A fireside chat
10:25 am	10:55 am	Coffee Break with Posters Location: Smilow Cafe and Science Building 1st Floor
Challenge Updates Chair: Jim Costello
10:55 am	11:10 am	Andrew Gentles Tumor Deconvolution DREAM Challenge
11:10 am	11:25 am	Pei Wang A precision FDA NCI-CPTAC Multiomics Mislabeling Challenge
11:25 am	11:40 am	Geoffrey Siwo Malaria Challenge
11:40 am	11:55 am	Anna Cichonska IDG-DREAM Drug-Kinase Binding Prediction Challenge
11:55 am	1:10 pm	Keyvan Farahani Justin Guenney Percio S. Gulko David Gutman Amber Simpson The Challenge of Imaging Challenges: A Panel Discussion
1:10 pm	2:25 pm	Lunch on Own
Multi-Targeting Drug DREAM Challenge Chair: Justin Guenney
2:25 pm	3:05 pm	Keynote - Ross Cagan A Fly DREAM
3:05 pm	3:25 pm	Avner Schlessinger Challenge Overview Talk
3:25 pm	3:45 pm	Minji Jeon Best Performance Talk
3:45 pm	4:10 pm	Coffee Break with Posters Location: Smilow Cafe and Science Building 1st Floor
Single-Cell Transcriptomics Challenge Chair: Gustavo Stolovitzky
4:10 pm	4:30 pm	Shengbao Suo Revealing the critical regulators of cell identity in the mouse cell atlas
4:30 pm	4:50 pm	Nikolaus Rajewsky Single-Cell Transcriptomics Overview
4:50 pm	5:00 pm	Pablo Meyer Jovan Tanevski Best Performer Announcements and Scoring Approach
5:00 pm	5:20 pm	Thin Nguyen Best Performer Talk 1
5:20 pm	5:40 pm	Peng Qiu Best Performer Talk 2
5:40 pm	6:00 pm	Chang Shu Xiaoyu Liang Best Performer Talk 3
6:00 pm	7:00 pm	Dream Reception and Posters Location: Smilow Cafe and Science Building 1st Floor
7:00 pm		Adjourn

- top -

RSG Schedule
Sunday – Day 2 – December 9, 2018 - Click here to view RSG abstracts
Go directly to: Saturday, Dec 8 (DREAM) – Monday, Dec 10
START TIME	END TIME	SESSION TYPE
REGISTRATION 8:00am - 5:00pm Location: Science Building, top of the stairs
All RSG Day talks to occur in Farkas Auditorium
9:00 am	9:15 am	Welcome
9:15 am	10:00 am	Keynote - Aravinda Chakravarti
10:00 am	10:15 am	Anat Kreimer, Fumitaka Inoue, Tal Ashuah, Nadav Ahituv and Nir Yosef Massively parallel characterization of regulatory dynamics during neural induction
10:15 am	10:30 am	Tobias Zehnder, Philipp Benner and Martin Vingron Predicting enhancers in mammalian genomes using supervised hidden Markov models
10:30 am	10:45 am	William Lai, Kylie Bocklund, Kate Mistretta and B Franklin Pugh Methods of defining “success” in ChIP-seq/exo experiments
10:45 am	11:15 am	Coffee Break with Posters Location: Smilow Cafe and Science Building 1st Floor
11:15 am	11:30 am	Alireza Fotuhi Siahpirani, Rupa Sridharan and Sushmita Roy Incorporating noisy prior networks for estimating latent transcription factor activities and inferring genome-scale regulatory network in yeast and mammalian systems
11:30 am	11:45 am	Amir Alavi, Matthew Ruffalo, Aiyappa Parvangada, Zhilin Huang and Ziv Bar-Joseph scQuery: a web server for comparative analysis of single-cell RNA-seq data
11:45 am	12:30 pm	Keynote - Shirley Liu
12:30 pm	2:00 pm	Lunch on Own
2:00 pm	2:15 pm	Special Session Welcome
2:15 pm	3:00 pm	Keynote - Peter Kharchenko Analysis of transcriptional dynamics with single-cell transcriptomics
3:00 pm	3:15 pm	Florian Wagner and Itai Yanai Moana: A Robust and Scalable Cell Type Classification Framework for Single-cell RNA-Seq Data
3:15 pm	3:30 pm	Joseph A. Wayman, Diep Nguyen, Peter DeWeirdt, Bryan D. Bryson and Emily R. Miraldi Benchmarked methods for transcriptional regulatory network inference from single-cell RNA-seq data
3:30 pm	3:45 pm	Gunsagar Gulati, Shaheen Sikandar, Daniel Wesche, Anjan Bharadwaj, Anoop Manjunath, Francisco Ilagan, Mark Berger, Michael Clarke and Aaron Newman Robust Reconstruction of Single Cell Differentiation Trajectories using CytoTRACE
3:45 pm	4:15 pm	Coffee Break with Posters Location: Smilow Cafe and Science Building 1st Floor
4:15 pm	4:30 pm	Qian Zhu, Sheel Shah, Ruben Dries, Long Cai and Guo-Cheng Yuan Decomposing spatially dependent and cell type specific contributions to cellular heterogeneity
4:30 pm	4:45 pm	Nelson Johansen and Gerald Quon Characterizing cell type-specific responses to stimuli using single cell RNA sequencing
4:45 pm	5:30 pm	Keynote - Miriam Merad
5:30 pm	7:00 pm	Reception with poster viewing Location: Smilow Cafe and Science Building 1st Floor
- top -
Monday – Day 3 – December 10, 2018 - Click here to view RSG Abstracts
Go directly to: Saturday, Dec 8 (DREAM) – Sunday, Dec 9
START TIME	END TIME	SESSION TYPE
REGISTRATION 8:00am - 5:00pm Location: Science Building, top of the stairs
All RSG Day talks to occur in Farkas Auditorium
9:00 am	9:15 am	Special Session Welcome
9:15 am	10:00 am	Keynote - Adam Siepel An evolutionary framework for measuring epigenomic information and estimating cell-type specific fitness consequences
10:00 am	10:15 am	Akpeli Nordor, Martin Aryee and Geoffrey Siwo Predicting interactions between small molecules and genome editing technologies
10:15 am	10:30 am	Gregory Nuel, Flaminia Zane, Andrea Rau and Florence Jaffrezic Clustering of Directed Acyclic Graphs in Systems Biology
10:30 am	10:45 am	Peter Koo, Praveen Anand, Steffan Paul and Sean Eddy Inferring Sequence-Structure Preferences of RNA-Binding Proteins with Convolutional Residual Networks
10:45 am	11:15 am	Coffee Break with Posters Location: Smilow Cafe and Science Building 1st Floor
11:15 am	11:30 am	Jingyi Jessica Li, Guo-Liang Chew and Mark Biggin Principles of cis-translational control by general mRNA features in a yeast, a plant and a mammal
11:30 am	11:45 am	Svetlana Shabalina Complexity and evolution of the mammalian transcriptome: the architecture of alternative transcription and splicing
11:45 am	12:30 pm	Keynote - Itai Yanai Single-cell and spatial gene expression analysis of tumorigenesis
12:30 pm	2:00 pm	Lunch on Own
2:00 pm	2:45 pm	Keynote - Bing Ren Functional Organization of the Human Genome
2:45 pm	3:00 pm	Shahin Mohammadi, Jose Davila-Velderrain and Manolis Kellis Systems biology of schizophrenia at single-cell resolution
3:00 pm	3:15 pm	Federica Eduati, Ramesh Utharala, Patricia Jaaks, Mathew Garnett, Thorsten Cramer, Christoph Merten and Julio Saez-Rodriguez Combining microfluidics and mathematical modelling for prioritisation of personalised cancer treatments from patient biopsies
3:15 pm	3:30 pm	Lu Cheng, Siddharth Ramchandran, Tommi Vatanen, Juho Timonen, Niina Lietzen, Riitta Lahesmaa, Aki Vehtari and Harri Lähdesmäki An additive Gaussian process regression model for interpretable probabilistic non-parametric analysis of longitudinal data
3:30 pm	4:00 pm	Coffee Break with Posters Location: Smilow Cafe and Science Building 1st Floor
4:00 pm	4:15 pm	Jonathan Warrell, Daifeng Wang, Shuang Liu, Hyejung Wong, Xu Shi, Fabio Navarro, Declan Clarke, Mengting Gu, Prashant Emani and Mark Gerstein Interpretable Deep-learning for Multilevel Models of Psychiatric Disorders
4:15 pm	4:30 pm	Hatice Osmanbeyoglu, Fumiko Shimizu, Angela Rynne-Vidal, Tsz-Lun Yeung, Petar Jelinic, Samuel Mok, Gabriela Chiosis, Douglas Levine and Christina Leslie Chromatin-informed inference of transcriptional programs in gynecologic and basal breast cancers
4:30 pm	5:15 pm	Keynote - Ana Pombo
5:30 pm	7:00 pm	Reception with poster viewing Location: Smilow Cafe and Science Building 1st Floor

- top -

CONTACT

Bel Hanson
Conference Manager
This email address is being protected from spambots. You need JavaScript enabled to view it.
Tel: 1-571-293-0286

- top -

ABSTRACTS

Links in this page: Poster Abstracts | RSG Abstracts | DREAM Abstracts

- top -

Page 3 of 7

Start
Prev
1
2
3
4
5
6
7
Next
End

Submit your work today

Submit your work today

Submit your workshop today!

New Webinars & Tutorials scheduled frequently

Ensure you get important ISCB emails

Donate Now!

UPCOMING DEADLINES & NOTICES

Upcoming Conferences

A Global Community

Professional Development, Training, and Education

ISCBintel and Achievements

Page Not Found

Venue & Accommodations

ISCB Code of Ethics and Professional Conduct

Guiding Principles

Professional Conduct

SPONSORS

Co-Host

Silver Sponsors

General Sponsors

POSTERS SCHEDULE

RSG Posters Schedule

DREAM Posters Schedule

ORAL PRESENTATIONS SCHEDULE

DREAM Schedule

RSG Schedule

CONTACT

ABSTRACTS

Exclusively for members

Supporting ISCB

ISCB On the Web