CONFERENCE SPONSORS

CONFERENCE HOST UNIVERSITY AND GOLD SPONSOR:

Purdue University
Vice President, Office of Research
Bioinformatics Core

 SILVER SPONSORS:


Indiana University
University Information Technology Services
Department of Biology
School of Informatics and Computing
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University of Michigan, Dept of Computational Medicine and Bioinformatics
BRONZE SPONSORS:


The Research Division
of Ohio University
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Department of Computer Science and Engineering
Eck Institute for Global Health
Complex Networks Lab
University of Notre Dame

EXHIBITOR SHOWCASE SPONSOR:

 

Cincinnati Childrens’s Hospital Medical Center
Division of Biomedical Informatics, University of Cincinnati

POSTER AWARDS SPONSOR:


Faculty of 1000

BEST PAPER AWARD SPONSOR:


Springer

INDUSTRY SPONSOR:



University of Michigan Bioinformatics Core
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PerkinElmer

GENERAL SPONSOR:


Purdue University
Agricultural Research

Reading Papers List, 2019

 

As selected at RECOMB/ISCB Regulatory systems Genomics 2020
(Papers are listed alphabetically by title)

  • Accurate prediction of cell type-specific transcription factor binding (Genome Biol 2019) Keilwagen J, Posch S, Grau J.
  • An evolutionary framework for measuring epigenomic information and estimating cell-type-specific fitness consequences (Nature Genetics 2019) Gulko B, Siepel A.
  • Characterizing protein-DNA binding event subtypes in ChIP-exo data (Bioinformatics 2019) Yamada N, Lai WKM, Farrell N, Pugh BF, Mahony S.
  • Chromatin features constrain structural variation across evolutionary timescales (PNAS 2019) Fudenberg G, Pollard KS.
  • cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data (Nature Methods 2019) Bravo Gonzalez-Blas C, Minnoye L, Papasokrati D, Aibar S, Hulselmans G, Christiaens V, Davie K, Wouters J, Aerts S.
  • Detection of RNA-DNA binding sites in long noncoding RNAs (Nucl Acids Res 2019) Kuo CC, Hanzelmann S, Senturk Cetin N, Frank S, Zajzon B, Derks JP, Akhade VS, Ahuja G, Kanduri C, Grummt I, Kurian L, Costa IG.
  • Exploring single-cell data with deep multitasking neural networks (Nature Methods 2019) Amodio M, van Dijk D, Srinivasan K, Chen WS, Mohsen H, Moon KR, Campbell A, Zhao Y, Wang X, Venkataswamy M, Desai A, Ravi V, Kumar P, Montgomery R, Wolf G, Krishnaswamy S.
  • GkmExplain: fast and accurate interpretation of nonlinear gapped k-mer SVMs (Bioinformatics 2019) Shrikumar A, Prakash E, Kundaje A.
  • Integrating regulatory DNA sequence and gene expression to predict genome-wide chromatin accessibility across cellular contexts (Bioinformatics 2019) Nair S, Kim DS, Perricone J, Kundaje A.
  • Transcriptional cofactors display specificity for distinct types of core promoters (Nature 2019) Haberle V, Arnold CD, Pagani M, Rath M, Schernhuber K, Stark A.


CONGRATULATIONS TO ALL AUTHORS!

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International Society for Computational Biology

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