ismbeccb2025

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Abstracts – Talks and Posters

We invite abstracts for research that is topical to bioinformatics and computational biology, which is in progress (unpublished, formerly Late-Breaking Research) or previously published within the last 18 months (previously Highlights Track) for consideration for oral and/or poster presentation.

Your abstract should be submitted to the Communities of Special Interest (COSI) or Open Session Track that most accurately reflects the area of the work. (You will have the option to identify two other tracks that may also be suited to your research area during your submission). You can learn more about COSIs here.

Talks and posters are organized according to scientific topics which are covered by the COSIs and open sessions listed and described below. Please note, abstracts are not limited to COSI and open session topics and if the topic of your submission falls outside the listed COSIs you can choose the "General Computational Biology" area. Your abstract should convey a scientific result and should not be an advertisement for any commercial software package.

Multiple presentations: The same talk is not permitted to be given more than once as an oral presentation at ISMB. Research may be presented as both a talk and a poster if and only if it is submitted as two individual submissions with TWO different presenters. Having the same person deliver two (or more) different talks is NOT PERMITTED on the same topic. This allows for many people from one lab to present the work of the lab. A presenting author may present NO MORE THAN ONE talk or poster on the same topic.

For a variety of reasons, ISCB strongly prefers that scientific research accepted for oral presentation be presented in-person at the conference venue. We understand that some presenters will have valid reasons to avoid in-person attendance. ISCB will grant remote presentation options for reasons associated with maternity/paternity leave, care for a family member, personal/medical disability, sickness, financial hardship, or potential visa problems. If your research is accepted for oral presentation and you are unable to present in person, ISCB requires notification at the time of acceptance and no later than May 15, 2024. If unable to participate in person you will need to request a waiver by writing This email address is being protected from spambots. You need JavaScript enabled to view it.

Any pre-approved virtual presenters will be required to provide a pre-recorded talk for the virtual platform library in advance of the conference as a precaution due to possible technical issues.

ISMB/ECCB 2025 follows the ISCB policy for acceptable use of large language models (https://www.iscb.org/iscb-policy-statements/iscb-policy-for-acceptable-use-of-large-language-models).

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Abstracts: Deadlines

Any recent research, published or unpublished is eligible for submission. Different submission types have different deadlines and notification dates. Be sure to check the below table or key dates page to find the dates relevant to your submission.

Poster only submissions DO NOT require any materials to be uploaded during submission. Submissions are evaluated on the 250 word text abstract provided during submission.

Bioinformatics Education and Citizen Science (COSIs within this area include: Education) Chair(s): Russell Schwartz, Carnegie Mellon University, USA Jérôme Waldispühl, McGill University, Canada	Systematic examination and analysis of learning models, outcomes, and educational programs. Serious gaming and game-ification.
Bioinformatics of Microbes and Microbiomes (COSIs within this area include: BioVis, CAMDA, HiTSeq, MICROBIOME, MLCSB, NetBio, Text Mining) Chair(s): Nicola Mulder, University of Cape Town, South Africa Mihai Pop, University of Maryland, USA	Computational methods and algorithms for studying microbial organisms, viruses, and their communities from omics and marker data.
Biomedical Informatics (COSIs within this area include: Bio-Ontologies, BioVis, CAMDA, Function, HiTSeq, iRNA, MLCSB, NetBio, Text Mining, TransMed, VarI) Chair(s): Niko Beerenwinkel, ETH Zurich, Switzerland Giulio Caravagna, University of Trieste, Italy Jenna Wiens, University of Michigan, USA	Computational approaches to clinical and medical problems, including disease predisposition, diagnostic, progression, and treatment. Pharmacogenomics.
Equity and Diversity in Computational Biology Research (Of interest to all COSIs) Chair(s): Larry Hunter, University of Chicago, USA Alejandra Medina Rivera, Universidad Nacional Autónoma de México, Mexico	Research that examines issues of equity, representation, diversity, or other elements related to datasets, methods, or the field at large; health policy; fairness in ML; biases in GWAS studies; bias in literature; biology/genomics of traditionally understudied groups.
Evolutionary, Comparative and Population Genomics (COSIs within this area include: BioVis, Evolution and Comparative Genomics, Function, HiTSeq, iRNA, MICROBIOME, MLCSB, VarI) Chair(s): Flora Jay, Université Paris-Saclay, France Erin Molloy, University of Maryland, USA	Phylogeny estimation, and modelling variation and change under the influence of evolutionary processes. Selection and adaptation. Multi-species analyses.
Genome Sequence Analysis (COSIs within this area include: BioVis, Evolution and Comparative Genomics, Function, HiTSeq, iRNA, MICROBIOME, MLCSB, NetBio, RegSys, TransMed, VarI) Chair(s): Laurent Jacob, CNRS, Sorbonne Université, France Tobias Marschall, Heinrich Heine University Düsseldorf, Germany	Assembly and mapping algorithms. Gene prediction and annotation. Detection, qualification, and annotation of genomic variants and their structural and functional effects.
Macromolecular Sequence, Structure, and Function (COSIs within this area include: 3DSIG, Bio-Ontologies, BioVis, CompMS, Evolution and Comparative Genomics, Function, iRNA, MLCSB, RegSys, VarI) Chair(s): Jianlin Cheng, University of Missouri, USA Mark Wass, University of Kent, UK	Analysis and annotation of DNA, RNA, and proteins to predict, characterize, and understand their structure, function, and evolution. Includes protein design and imaging techniques for macromolecules.
Privacy and Security for Computational Biology (COSIs within this area include: HiTSeq, MLCSB, TransMed) Chair(s): Michael Baudis, University of Zurich, Switzerland Kana Shimizu, Waseda University, Japan	Methods related to the protection of individualized molecular and medical information; privacy models; federated learning; GWAS on summary statistics; federated EHR data analysis; new approaches to federated data storage, access, and analysis.
Regulatory and Functional Genomics (COSIs within this area include: Bio-Ontologies, BioVis, Evolution and Comparative Genomics, Function, HiTSeq, iRNA, MICROBIOME, MLCSB, NetBio, RegSys) Chair(s): Kimberly Glass, Harvard Medical School, USA Saurabh Sinha, Georgia Institute of Technology, USA	Transcriptomics, single-cell RNA techniques, non-coding RNA, epigenetics, chromatin structure.
Systems Biology and Networks (COSIs within this area include: Bio-Ontologies, BioVis, CompMS, Function, MICROBIOME, MLCSB, NetBio, RegSys, Text Mining, TransMed) Chair(s): Anaïs Baudot, Aix Marseille Université, CNRS, INSERM, France Natasa Przulj, Barcelona Supercomputing Center, Spain	Emergent properties and complex multi-component interactions within biological systems, considering genomic, proteomic, metabolomic, and other -omic data; gene regulation and circuit design.
General Computational Biology* Chair(s): Gary Bader, University of Toronto, Canada Alberto Paccanaro, Fundação Getúlio Vargas, Brazil & Royal Holloway, University of London, UK	Novel techniques in emerging areas of computational biology not covered by the other areas listed above, including intersections with other fields.
*You are encouraged to submit to one of the other thematic areas. If you feel your contribution is at the intersection of many fields, please pick one. If you still want to submit to this area, you will be asked to explain why. Please note that the submissions in this area and others are likely to be moved, subject to chairs’ considerations.

3DSIG: Structural Bioinformatics and Computational Biophysics Abstract Area Chairs: Douglas Pires, University fo Melbourne, Australia R. Gonzalo Parra, Barcelona Supercomputing Center	It is impossible to fully understand biological systems without understanding the 3D structure of their constituting parts and their interactions. As such the topics relevant for 3DSIG are wide and include, but are not restricted to Structure-based drug discovery including polypharmacology and network pharmacology; Structure representation, classification and prediction; Structure-based function prediction; Docking, analysis, prediction and simulation of biomolecular interactions such as protein-protein, protein-ligand and protein-nucleic-acid; Protein dynamics and disorder; Evolution studied through structures; Application of structure to systems biology; Macromolecular assemblies; Structural genomics; 3D databases and data mining; Molecular visualization; Relevant methods of structure determination particularly hybrid methods; Prediction and analysis of protein domains; Membrane protein structure analysis and prediction; The structural basis of immunology. click to enlarge
BOKR: Bio-Ontologies and Knowledge Representation Abstract Area Chairs: Tiffany Callahan, IBM Research, USA Augustin Luna, NLM, USA Learn more about the Bio-Ontologies here	Bio-Ontologies & Knowledge Representation (BOKR) covers research related to building and using structured knowledge in bioinformatics, including ontologies, knowledge graphs, knowledge-enhanced learning, knowledge extraction, and, in general, any aspect related to the organisation, presentation, dissemination, and use of knowledge in biology, biomedicine, and the life sciences. click to enlarge
BioInfo-Core Abstract Area Chairs: Lorena Pantano Rubino, Harvard School of Public Health, United States Madelaine Gogol, Stowers Institute, United States Alberto Riva, Human Technopole, Italy Yuvanesh Vedaraju, Houston Methodist, United States Learn more about Bioinfo-core here	Bioinfo-core is a worldwide body of people that manage or staff bioinformatics cores within organizations of all types including academia, academic medical centers, medical schools, biotechs and pharmas. The major goal of this COSI is to offer a community to people who manage and staff bioinformatics cores around the world. Topics of interest to this group for our ISMB workshop include topics that core members would find interesting or useful. This includes but is not limited to: management topics relevant to cores, core formation and setup, workflow development, reproducibility, best practices, training, or exploring analysis of new types of data. click to enlarge
Bioinformatics in the UK Abstract Area Chairs: Carole Goble, The University of Manchester, United Kingdom Janet Thornton, EBI/EMBL, United Kingdom Learn more about Bioinformatic in the UK here	Recognising that the UK hosts the 2025 meeting, a one-day UK track will be dedicated to showcasing the UK’s research, innovation and talent, and includes a dedicated poster reception and networking event. The track will focus on Biodiversity and Agritechnology and Health, and encouraging contributions on methods (including AI), standards and applications. Abstracts for talks and posters in these areas are invited from Academic or Industry researchers in either Research career paths (faculty, fellows, postdocs, postgraduates), or Technical Professional paths (including but not limited to data stewards, data scientists and Research Software Engineers). Submissions are also encouraged from researchers and RTPs involved with data management and the data infrastructure, and bioinformaticians involved in interpreting the data and making an impact on health and biodiversity. The track will also feature invited keynotes and an industry panel. An evening poster reception will provide an opportunity for socialising and networking. The track is open to all conference delegates. All speakers, poster presenters and panel members will be drawn from UK institutions. The sessions will be coordinated by a Programme Committee, who will consider scientific and technical excellence as the primary consideration but will also seek to select papers that represent the breadth and diversity of the bioinformatics community in the UK, considering geography, scientific domain, career stage, and EDI principles. Only those based in the UK can apply for a poster and/or talk.
BioVis: Biological Data Visualization Abstract Area Chairs: Zeynep Gümüş, Icahn School of Medicine at Mount Sinai, United States Robert Krueger, NYU Tandon, United States Jen Rogers, Glasgow School of Art, United Kingdom Qianwen Wang, University of Minnesota, United States Learn more about the BioVis COSI here	The BioVis track aims to educate, inspire, and engage bioinformatics and biology researchers in state-of-the-art visualization research and visualization researchers in problems in biological data visualization. The rapid adoption of data-intensive biology approaches creates enormous challenges for computational visualization techniques, which are needed to enable researchers to gain insight from their large and highly complex data sets. The goal of this session is to bring together researchers from the visualization, bioinformatics, and biology communities with the purpose of educating, inspiring, and engaging bioinformatics and biology researchers in state-of-the-art visualization research, as well as visualization researchers in problems in biological data visualization. Keywords: Visualisation, Visual Analytics, Education click to enlarge
BOSC: Bioinformatics Open Source Conference Abstract Area Chairs: Nomi L. Harris, Lawrence Berkeley National Laboratory, United States Karsten Hokamp, Trinity College Dublin, Ireland Deepak Unni, Swiss Institute of Bioinformatics, Switzerland Hervé Ménager, Institut Pasteur, France Jason Williams, Cold Spring Harbor Laboratory, United States Monica Munoz-Torres, University of Colorado Anschutz Medical Campus, United States Tazro Ohta, Chiba University Jessica Maia, BD Learn more about BOSC here	BOSC covers all aspects of open science / open source bioinformatics, including standards and ontologies; approaches that promote open science and sharing of data, results and software; bioinformatics tools and libraries; and ways to grow open source communities while promoting diversity within them. Launched in 2000 and held yearly since then, BOSC is organized by the Open Bioinformatics Foundation (OBF), a non-profit group dedicated to promoting the practice and philosophy of open source software development and open science within the biological research community. Keywords: Open source; Open science; Open data; Reproducible research; Interoperability; Data science; Workflows; Translational bioinformatics; Diversifying bioinformatics communities You can learn more about the BOSC COSI here. click to enlarge
CAMDA: Critical Assessment of Massive Data Analysis Abstract Area Chairs: Paweł P Łabaj, Małopolska Centre of Biotechnology of Jagiellonian University (PLEASE note: CAMDA submitters should include a 3-5 page long abstract PDF) Learn more about the CAMDA COSI here.	The large, complex data sets for the Critical Assessment of Massive Data Analysis (CAMDA) contest include built-in truths for calibration. In an open-ended competition, however, both seasoned researchers and cunning students push the boundaries of our field, with unexpected questions or angles of approach often bringing the most impressive advances. The CAMDA track highlights and compares the latest methods and results in an international data analysis contest, with this year's topics including: (1) The Synthetic Clinical Health Records Challenge provides a rich set of highly realistic Electronic Health Records (EHR) tracing the diagnosis trajectories of diabetic patients, created with dual-adversarial auto-encoders trained on data from 1.2 million real patients in the Population Health Database of the Andalusian Ministry of Health. Predict relevant diabetes endpoints like blindness or cardiopathy from past diagnosis trajectories! (2) The Anti-Microbial Resistance Prediction Challenge features clinical isolates sequences. Predict resistance genes/markers and identify resistant bacteria! (3) The Gut Microbiome based Health Index Challenge features hundreds of WMS based taxonomic and functional profiles of healthy and unhealthy individuals. Take advantage of the Theater of Activity concept and compete already existing taxonomy based metrics! click to enlarge
CompMS: Computational Mass Spectrometry Abstract Area Chairs: Wout Bittremieux, University of Antwerp Timo Sachsenberg, University of Tübingen Isabell Bludau, Heidelberg University Hospital Lindsay Pino, Talus Bio Marie Brunet, Sherbrooke University Learn more about the CompMS COSI here.	The CompMS group promotes the efficient, high quality analysis of mass spectrometry data. The CompMS initiative covers various computational mass spectrometry application domains, including proteomics, metabolomics, and lipidomics. click to enlarge
Computational and Systems Immunology Abstract Area Chair: Ferhat Ay, La Jolla Institute for Immunology, United States Jishnu Das, University of Pittsburgh School of Medicine, United States	"The Special Session on Computational Immunology invites abstract submissions for short talks and poster presentations encompassing various aspects of computational immunology. This includes the development of machine learning, network systems and immunogenomic approaches for analyzing multi-dimensional/multi-omic data. Data-driven computational studies addressing fundamental or translational questions in immunology are also of interest. Potential topics may cover, but are not limited to: ingle-cell multi-omics for characterizing immune cell heterogeneity and regulatory mechanisms of immune cell function Spatial genomics for studying immune microenvironments and interactions among immune cells. Trajectory inference and lineage tracing in immune cells. Analysis of receptor-ligand interactions. Profiling, reconstruction, and analysis of T cell and B cell receptor repertoires. We encourage researchers to submit abstracts showcasing innovative approaches and insights in these areas for consideration in our Special Session on Computational Immunology.
Education: Computational Biology Education Abstract Area Chair: Russell Schwartz, Carnegie Mellon University Patricia Palagi, SIB Swiss Institute of Bioinformatics Wai Keat Yam, International Medical University Learn more about the Education COSI here.	Education-COSI focuses on bioinformatics and computational biology education and training across the life sciences. A major goal of this COSI is to foster a mutually supportive, collaborative community in which bioscientists can share bioinformatics education and training resources and experiences, and facilitate the development of education programs, courses, curricula, etc., and teaching tools and methods. Keywords: education, training, training resources, curricula, competencies click to enlarge
Equity and Diversity in Computational Biology Research Abstract Area Chairs: Casey Greene, University of Colorado’s Anschutz Medical Campus, United States Alejandra Medina Rivera, Universidad Nacional Autonoma de Mexico, Mexico Farzana Rahman, Kingston University London, United Kingdom	This area is for research that examines issues of equity, representation, diversity, or other elements related to datasets, methods, or the field of computational biology at large.
EvolCompGen: Evolution and Comparative Genomics Abstract Area Chairs: Nadia El-Mabrouk, University of Montreal, Canada Katharina Jahn, Freie Universitat, Germany Edward Braun, University of Florida, United States Learn more about the EvolCompGen COSI here	Evolution and comparative genomics are deeply intertwined with computational biology. Computational evolutionary methods, such as phylogenetic inference methods or multiple sequence alignment are widely used, yet remain far from “solved” and are indeed intense areas of research. At the same time, evolutionary and comparative genomics are inherently “transversal” disciplines in that work in many other biological areas of research have some evolutionary component (e.g. cancer genomics, epidemiology, toxicology, population genetics, functional genomics, structural biology just to name a few). The scope of this COSI is intentionally kept broad. The track will feature a mix of proceedings, highlight, and invited talks. Priority will be given to contributions which are relevant to more than a single area of application, or to contributions which are not covered by more specialised COSIs. Keywords: Evolution, phylogeny, phylogenomics, comparative genomics, genome rearrangements, orthology, paralogy, recombination, lateral gene transfer, genome variation, population genomics, comparative epigenomics, epidemiology, cancer evolution genomics, genome annotation click to enlarge
Function: Gene and Protein Function Annotation Abstract Area Chairs: Iddo Friedberg, Iowa State University, United States Mark Wass, University of Kent, United Kingdom Ana M Rojas Mendoza, Centro Andaluz de Biologia del Desarrollo, Spain Dukka KC, RIT, United States Jason McDermott, PNNL, United States Learn more about the Function COSI here	The mission of the Function Community of Special Interest (Function-COSI) is to bring together computational biologists, experimental biologists, biocurators, and others who are dealing with the important problem of gene and gene product function prediction, to share ideas and create collaborations. The Function COSI features the Critical Assessment of Function Annotation, an ongoing community challenge aimed at improving methods for protein function prediction. The Function-COSI holds annual meetings alongside ISMB. Also, we are conducting the multi-year Critical Assessment of protein Function Annotation, or CAFA, experiment. Keywords: Protein function prediction, machine learning, performance assessment click to enlarge
General Computational Biology Abstract Area Chairs: Ben Raphael, Princeton, United States Simone Zaccaria, UCL Cancer Institute, United Kingdom (If all other areas are insufficiently descriptive of your work, please submit to the area below. Please note that the submissions in this area can be moved, subject to chairs’ considerations.)	Novel techniques in emerging areas of computational biology, including intersections with other fields.
HitSeq: High-throughput Sequencing Abstract Area Chairs: Can Alkan, Bilkent University Ana Conesa, Institute for Integrative Systems Biology Francisco M. De La Vega, Stanford University Dirk Evers, Dr. Dirk Evers Consulting Kjong Lehmann, RWTH Aachen Christina Boucher, University of Florida Learn more about the HiTSeq COSI here	HiTSeq is a community of special interest devoted to the latest advances in computational techniques for the analysis of high-throughput sequencing (HTS) data. Sessions will be devoted to discussing the latest advances in computational techniques for the analysis of high-throughput sequencing (HTS) datasets and will provide a forum for in-depth presentations of the methods and discussions among the academic and industry scientists working in this field. We seek contributions on any topic involving HTS data analysis including: genome assembly and haplotype phasing; transcriptome analysis; genetics and epigenetics variation; metagenomics and microbiome analysis; and new HTS platform data analysis (e.g. synthetic reads, long reads, nanopore). In addition to general sessions, we propose to have two specialized sessions to focus on current hot topics: a) long sequencing and mapping techniques, b) single cell sequencing applications, c) non-linear genome representations. Both of these topics have generated an enormous amount of interest recently. Keywords: sequencing, next generation, high throughput, algorithms, assembly, phasing, variation discovery, genotyping, metagenomics, microbiome, long reads, short reads, nanopre, pan-genomes, graph genomes click to enlarge
iRNA: Integrative RNA Biology Abstract Area Chairs: Michelle Scott, University of Sherbrooke, Canada Athma Pai, University of Massachusetts Medical School, United States Hagen Tilgner, Weill Cornell Medicine, United States Maayan Salton, Hebrew University of Jerusalem in Israel, Israel Blake Sweeny, European Bioinformatics Institute, United Kingdom Learn more about the iRNA COSI here	iRNA track covers the full range of research topics in the field of RNA Biology, from computational and high-throughput experimental methods development to their application in different aspects of RNA processing, structure, and function. The goal of the Integrative RNA Biology session is to bring together experts in computational and experimental aspects of research in RNA Biology to cover new developments across this broad field of research. The meeting focuses on two major areas: (1) the development of computational and high-throughput experimental methods, and (2) the application of such methods to break new grounds in the study of RNA biology and disease. We aim to educate and inspire researchers in the field, novice and seasoned alike, by meshing together different aspects of Computational RNA Biology, and promoting cross-disciplinary collaborative research. Keywords: Transcriptomics, RNA processing, post-transcriptional regulation, non-coding RNA, RNA 2D/3D structure, alternative-splicing, alternative polyadenylation, RNA translation degragation and localization, genetic variants effect on RNA processing, RNA and disease. click to enlarge
MICROBIOME Abstract Area Chair: Zhogn Wang, DOE Joint Genome Institute, United States Learn more about the MICROBIOME COSI here	The MICROBIOME Community of Special Interest aims at the advancement and evaluation of computational methods in microbiome research, especially metaomic approaches. Based on the Critical Assessment of Metagenome Interpretation (CAMI), the COSI supplies users and developers with exhaustive quantitative data about the performance of methods in relevant scenarios. It therefore guides users in the selection and application of methods and in their proper interpretation. Furthermore, the COSI provides a platform for exchange and networking between method developers, and provides valuable information allowing them to identify promising directions for their future work. Keywords: microbiome, computational metaomics, microbial networks, pathogens, symbionts, (meta)omics-based diagnostics, microbial ecology and evolution The MICROBIOME Community of Special Interest aims at the advancement and evaluation of computational methods in microbiome research, especially metaomic approaches. Keywords: microbiome, genome reconstruction, metagenomics, metatranscriptomics, metaproteomics, microbial networks, microbial traits, symbionts, pathogens, genome-based diagnostics click to enlarge
MLCSB: Machine Learning in Computational and Systems Biology Abstract Area Chairs: Barbara Engelhardt, Stanford University Sara Mostafavi, University of Washington Learn more about the MLCSB COSI here	Systems Biology and Machine Learning meet in the MLCSB COSI. The community is the place for researchers of these areas to exchange ideas, interact and collaborate. Molecular biology and all the biomedical sciences are undergoing a true revolution as a result of the emergence and growing impact of a series of new disciplines and tools sharing the -omics suffix in their name. These include in particular genomics, transcriptomics, proteomics and metabolomics, devoted respectively to the examination of the entire systems of genes, transcripts, proteins and metabolites present in a given cell or tissue type. Taking advantage of this wealth of genomic information has become a conditio sine qua non for whoever has the ambition to remain competitive in molecular biology and in the biomedical sciences in general. Machine learning naturally appears as one of the main drivers of progress in this context, where most of the targets of interest deal with complex structured objects: sequences, 2D and 3D structures or interaction networks. At the same time, bioinformatics and systems biology have already induced significant new developments of general interest in machine learning, for example in the context of learning with structured data, graph inference, semi-supervised learning, system identification, and novel combinations of optimization and learning algorithms. Keywords: Machine Learning, Data Mining, Deep Learning, Artificial Intelligence in Bioinformatics and Computational Biology click to enlarge
NetBio: Network Biology Abstract Area Chair: Deisy Morselli Gysi, Federal University of Parana, Brazil Scooter Morris, University of California, San Francisco, United States Martina Summer-Kutmon, Maastricht University, Netherlands Learn more about the NetBio COSI here	As large scale, systems-level data are becoming increasingly available, modeling and analyzing them as networks is widespread. Network Biology Community serves to introduce novel methods and tools, identify best practices and highlight the latest research in the growing and interdisciplinary field of network biology. Keywords: networks, pathways, systems, network analysis, disease networks, disease pathways click to enlarge
RegSys: Regulatory and Systems Genomics Abstract Area Chairs: Marcel Schulz, Uniklinikum and Goethe University Frankfurt Anthony Mathelier, University of Oslo Learn more about the RegSys COSI here	Regulatory genomics involves the study of the genomic control system, which determines how, when and where to activate the blueprint encoded in the genome. Regulatory genomics is the topic of much research activity worldwide. Since computational methods are important in the study of gene regulation, the RegSys COSI meeting focuses on bioinformatics for regulatory genomics. An important goal of the meeting is to foster a collaborative community wherein scientists convene to solve difficult research problems in all areas of computational regulatory genomics. Keywords: 1. Genomic and epigenomic regulatory elements (transcription factors, enhancers, histones, gene promoters, regulatory motifs, non-coding RNAs, etc.) 2. NGS methods in regulatory genomics (e.g., ChIP-seq, RNA-seq, ATAC-seq) 3. Epigenetics and epitranscriptomics 4. Alternative splicing 5. Regulatory networks and pathway analysis 6. Genetic, molecular, and phenotypic variation in human disease 7. DNA shape 8. Single-cell transcriptomics (and other single cell assays) 9. 3D genomics (e.g., Hi-C and ChIA-PET) 10. Regulatory evolution or comparative regulatory genomics click to enlarge
SysMod: Computational Modeling of Biological Systems Abstract Area Chairs: Shaimaa Bakr, Stanford University Matteo Barberis, University of Surrey Chiara Damiani, Università degli Studi di Milano-Bicocca Reihaneh Mostolizadeh, Justus Liebig University Giessen Bhanwar Lal Puniya, University of Nebraska–Lincoln Meghna Verma, AstraZeneca Learn more about the SysMod COSI here	The Computational Modeling of Biological Systems (SysMod) aims to create a forum for systems modelers and bioinformaticians to discuss common research questions and methods. The session will focus on the conjoint use of mathematical modeling and bioinformatics to understand biological systems functions and dysfunctions. The meeting is open to the full range of methods used in systems modeling, including qualitative and quantitative modeling, dynamical and steady-state modeling, as well all applications of systems modeling including basic science, bioengineering, and medicine. Keywords: computational modeling, constraint-based models, logical models, kinetic models, multi-scale models click to enlarge
Text Mining: Text Mining for Healthcare and Biology Abstract Area Chairs: Robert Leaman, NCBI/NLM/NIH Lars Juhl Jensen, University of Copenhagen Zhiyong Lu, NCBI/NLM/NIH Learn more about the Text Mining COSI here	The Text Mining COSI brings together researchers that create text mining tools with researchers who use text mining tools to make new discoveries. Our community discussions include both text mining use cases - concrete problems and applications in the biological/biomedical domain - and methodology development. click to enlarge
TransMed: Translational Medical Informatics Abstract Area Chairs: Irina Balaur, University of Luxembourg Learn more about the TransMed COSI here.	TransMed covers the current developments in the field of clinical and translational medicine informatics. Analysis of large amounts of multi-omics, imaging (medical and molecular), mobile sensor, clinical and health records data is paving the way for precision medicine. In the TransMed track, we will explore the current status of computational biology and advance machine learning approaches within the field of clinical and translational medicine. This opens the debate on current state-of-the-art data infrastructures for translational medicine data integration and analysis. A variety of computational approaches are currently being used to harmonize and relate molecular data to clinical outcomes in order to better understand disease conditions. These methods also have the potential to discover biomarkers for early detection of disease, and targets for drug discovery, and to be used predictively to help to suggest personalised therapeutic strategies for patients. In this session we will bring scientists from both academia and industry to exchange knowledge and foster networking, to help in building up of the translational medicine community. . Keywords: Translational medicine; clinical and ‘omics data integration; curation and harmonization; stratification of patients; informatics for integrating biology and the bedside; medical informatics; ontology-driven data representation; patient centered outcomes research; cohort data; deep learning click to enlarge
VarI: Variant Interpretation Abstract Area Chairs: Emidio Capriotti, University of Bologna Hannah Carter, University of California San Diego Antonio Rausell, Imagine Institute Learn more about the VarI COSI here	The VarI COSI meeting is dedicated to the recent advances in the analysis and interpretation of the genetic variants. The meeting aims to organize a research network (VarI-COSI) facilitating the exchange of ideas and the establishment of new collaborations between researchers with different expertise. The VarI-COSI meeting is broadly divided in two sessions (“Genetic variants as markers: evolution, populations, GWAS” and “Genetic variants as effectors: function, structure, and regulation”) that encompass the four major research topics of the field: 1) Databases, data mining algorithms and visualization tools for variants analysis. 2) Methods for predicting regulatory/structural/functional impacts of SNVs. 3) Personal Genomics, GWAS studies and SNV prioritization. 4) Population genomics and phylogenetic analysis. click to enlarge

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Plus ça change, plus c'est la même chose": from Swiss-Prot to Cellosaurus, 40 years of biocuration

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Decoding cellular systems: From observational atlases to generative interventions

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