Conference Information
ISMB 2020: International Conference on Intelligent Systems for Molecular Biology
https://www.iscb.org/ismbeccb2017
Submission Date:
2020-05-14 Extended
Notification Date:
2020-06-04
Conference Date:
2020-07-12
Location:
Montreal, Canada
Years:
28
CCF: b   CORE: a   QUALIS: a1   Viewed: 14347   Tracked: 6   Attend: 1

Conference Location
Call For Papers
The annual international conference on Intelligent Systems for Molecular Biology (ISMB) is the flagship meeting of the International Society for Computational Biology (ISCB). The 2020 conference is the 28th ISMB conference, which has grown to become the world's largest bioinformatics/computational biology conference.

ISMB brings together scientists from computer science, molecular biology, mathematics, statistics and related fields and provides an intense multidisciplinary forum for disseminating the latest developments in bioinformatics/computational biology.  The conference fosters fresh dialogues, collaboration and learning opportunities, and is a gathering which shapes the future of the field. At the heart of the scientific program are the ISCB’s Communities of Special Interest (COSIs), enabling intensified community involvement and bolstering its reputation as the leading conference in the field.  A strong scientific and technical program showcases the best international developments in bioinformatics and computational biology, making ISMB 2020 a must attend event.

ISMB 2020 invites submissions of full papers (not abstracts) consisting of new, non-published work, reporting theoretical, computational, and statistical advances in computational biology and its intersections with other fields.

Submissions are encouraged to report on advances in algorithm development and optimization, data structures, data visualization, artificial intelligence/machine learning, text mining, statistical inference, database and ontology development, image analysis, citizen and open science, etc. to analyze all types of biological data.

While we encourage submissions in new and emerging areas, we expect that the majority of submissions addressing topical biological domains will fall into one of the areas below. Please note during the submission process you will first select your "area" (the list below) and when providing submission details you will also have the opportunity to select your preferred COSI shown as "topics" in EasyChair (learn more about COSIs here).

Areas: 	 

Studies of Phenotypes and Clinical Applications
(COSIs within this area include: Bio-Ontologies, BioVis, CAMDA, Function, HiTSeq, MLCSB, NetBio, RNA, Text Mining, TransMed, VarI)

Chairs:
Sébastien Lemieux, Université de Montréal, Canada
Teresa Przytycka, NIH, United States

	Computational approaches to the study of phenotypes at cellular and organismal levels, including disease predisposition, progression, and treatment; considering multi-omic, imaging and clinical data.

Comparative and Functional Genomics
(COSIs within this area include: Bio-Ontologies, BioVis, Evolution and Comparative Genomics, Function, HiTSeq, MICROBIOME, MLCSB, NetBio, RegSys, RNA)

Chairs:
Carl Kingsford, Carnegie Mellon University, United States
Shaun Mahony, Penn State University, United States
	Genome structure and function across species or strains; genome assembly, genome organization, and annotation; epigenetics.
Genomic Variation Analysis
(COSIs within this area include: BioVis, Function, HiTSeq, MICROBIOME, MLCSB, NetBio, RegSys, RNA, TransMed, VarI)

Chairs:
Tobias Marschall, Saarland University, Germany
	Detection, qualification, and annotation of genomic variants and their structural and functional effects, and clinical or pharmaco-relevant applications.
Bioinformatics of Microbes and Microbiomes
(COSIs within this area include: BioVis, CAMDA, HiTSeq, MICROBIOME, NetBio, Text Mining)

Chairs:
Curtis Huttenhower, Harvard University, United States
Niranjan Nagarajan, Genome Institute of Singapore
	Computational methods and algorithms for studying microbial organisms, viruses, and their communities from omics and marker data.
Population Genomics and Molecular Evolution
(COSIs within this area include: BioVis, Evolution and Comparative Genomics, Function, HiTSeq, MICROBIOME, MLCSB, RNA, VarI)

Chairs:
Wataru Iwasaki, University of Tokyo, Japan
Aïda Ouangraoua, Université Sherbrooke, Canada

	Algorithms for phylogeny estimation and modelling variation and change under the influence of evolutionary processes.

Macromolecular Sequence, Structure, and Function
(COSIs within this area include: Bio-Ontologies, BioVis, CompMS, Evolution and Comparative Genomics, Function, MLCSB, RegSys, RNA, VarI)

Chairs:
Lenore Cowen, Tufts University, United States
Jérôme Waldispühl, McGill University, Canada
	Analysis and annotation of DNA, RNA, and proteins to predict, characterize, and understand their structure, function, and evolution; omics data analysis to characterize form, abundance, and function of biological macromolecules.
Systems Biology and Networks
(COSIs within this area include: Bio-Ontologies, BioVis, Function, MICROBIOME, MLCSB, NetBio, RegSys, Text Mining, TransMed)

Chairs:
Sushmita Roy, University of Wisconsin, United States
Mona Singh, Princeton, United States
	Emergent properties and complex multi-component interactions within biological systems, considering genomic, proteomic, metabolomic, and other -omic data; gene regulation and circuit design.

Genome Privacy and Security
(COSIs within this area include: HiTSeq, TransMed)

Chair:
Bonnie Berger, Massachusetts Institute of Technology, United States
	Methods related to the protection of individualized genomic and medical information; privacy models.

General Computational Biology*

Chairs:
Russell Schwartz, Carnegie Mellon University, United States
Olga Vitek, Northeastern University, United States

*You are encouraged to submit to one of the other eight 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.
Last updated by Dou Sun in 2020-04-19
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20152414217.4%
20132334017.2%
20112584818.6%
20092424619%
20074176615.8%
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