Announcements

ISCB-Africa ASBCB 2021, June 07 - 10, 2021

Submit your research to this dynamic virtual event!

Call for Workshops and Tutorials Deadline: 12 April, 2021

Open Call for Abstracts Deadline: 15 April, 2021

Call for Workshops and Tutorials!

Submission Deadline: 12 April, 2021

We invite scientists and professionals working in the fields of bioinformatics and computational biology to submit high-quality proposals for tutorials, workshops or mini-courses (tutorial program) to take place virtually as part of ISCB-Africa ASBCB 2021.

WORKSHOP & TUTORIAL SUBMISSIONS

Open Call for Abstracts (Oral and Poster)

Submission Deadline: 15 April, 2021

ISCB-Africa ASBCB Bioinformatics Conference welcomes original research and previously published research submissions for oral presentation (flash talk) and/or poster presentation consideration.

Abstracts may cover any area of computational biology, but preferably within one of the topic areas of the ASBCB Communities of Special Interest (COSI) listed below:

Population Genomics in Africa (AfriPopGen): population genomics and variant interpretation relevant to African populations
Pathogen
Agricultural Bioinformatics
Metaomics: multi-omics approaches in agriculture, health and diseases, and environmental research with a focus on both the laboratory and bioinformatic techniques and developments within the meta-omics (metagenomics, metatranscriptomics, metaproteomics and metabolomics)
Structural Biology
Systems Administration
General Bioinformatics and Computational Biology

ABSTRACT SUBMISSIONS

INVITED SPEAKERS

International Society for Computational Biology

ISCB Congratulates the 2021 Class of Fellows

The ISCB Fellows program was created to honor members who have distinguished themselves through outstanding contributions to the fields of computational biology and bioinformatics. Begun in 2009, 2021 marks the 12th anniversary of the program. In early December of each year, ISCB has sought Fellow’s nominations from our members, with eligibility restrictions based on selection criteria focused most heavily on the significance of scientific contributions.

We were pleased to receive many outstanding nominations this year, and the Fellows Selection Committee members carefully considered each one. Ultimately, thirteen nominees were elected as this year's newest Fellows.

Atul Butte, University of California, San Francisco - ISCB 2021 Fellow

Atul Butte, University of California, San Francisco
At the forefront of translational medicine informatics, including public data mining, integrative genomics and drug repurposing.

A. Keith Dunker, Indiana University School of Medicine, ISCB 2021 Fellow

A. Keith Dunker, Indiana University School of Medicine
A pioneer of the development and application of statistical and computational methods to understand the prevalence, the patterns of evolution, and the functional repertoire of intrinsically disordered proteins across all domains of life.

Eran Halperin, University of California, Los Angeles, ISCB 2021 Fellow

Eran Halperin, University of California, Los Angeles
Transformative work in the field of computational genomics through novel algorithms and theory that has enabled large-scale studies of genetic variation data.

Wolfgang Huber, European Molecular Biology Lab (EMBL), ISCB 2021 Fellow

Wolfgang Huber, European Molecular Biology Lab (EMBL)
Co-founder of Bioconductor, which provides robust software that ensures use and fosters collaboration, and outstanding research in the meticulous modelling of stochastic and systematic sources of variation in a data generating technology and state-of-the-art statistical methods to infer parameters from data.

		Sorin Istrail, Brown University Foundational contributions to computational biology, including physical mapping, protein folding, sequencing the human genome, haplotype phasing and assembly, and regulatory genomics, as well as launching the RECOMB conference and JCB.

		Christina Leslie, Memorial Sloan Kettering Recognized as bringing rigorous statistical machine learning techniques to computational biology, including basic science and clinical settings, as well as major contributions to conferences and consortia.

		Ming Li, University of Waterloo Fundamental, impactful contributions to computational biology and bioinformatics including linear approximation and optimized spaced seeds, and introducing deep learning to proteomics, significantly improving neoantigen de novo sequencing for cancer immunotherapy.

		Nuria Lopez Bigas, Institute for Research in Biomedicine Barcelona Leading innovator in computational cancer biology who has been instrumental in understanding the effects of chemotherapeutics on cancer and optimizing treatments to support translational interpretation for clinical applications.

		John Moult, University of Maryland Major contributions to protein fold prediction and impact of sequence variation on protein structure and function, as well as his organization of Critical Assessments, most notably CASP and also CAGI, to tackle grand challenges in biology.

		Dana Pe'er, Memorial Sloan Kettering Extraordinary record of scientific accomplishments through combining rigorous foundational machine learning with a deep understanding of biology, including contributions that have revolutionized the space of molecular interaction inference and single cell analysis, with applications to cancer and other diseases.

		Teresa Przytycka, National Center for Biotechnology Information, National Institute of Health Recognized for her fundamental algorithmic contributions to a wide range of problems in computational systems biology, especially in network analysis, network-based approaches to uncover disease genes, network reconstruction, regulatory roles of DNA conformation dynamics and RNA aptamer analysis.

		Eytan Ruppin, National Cancer Institute, National Institutes of Health Numerous contributions to neuroscience (neural modeling of brain disorders), neural computing (reinforcement learning dynamics and language learning), computational systems biology and computational study of cancer metabolism, including his work on synthetic lethality (SL), leading to the discovery of the first metabolic SL drug target to treat cancer.

		Gustavo Stolovitzky, IBM Research Pioneer in the use of crowdsourcing in computational biology, providing a unique service to the community and creating resources and benchmarks that led to breakthroughs in network biology, cancer genomics and translational biomedicine; founder of the DREAM Challenges; and instrumental involvement in the growth of the Computational Biology Center at IBM, establishing the Systems Biology program, and creating the Nanobiotechnology program that leveraged the vast IBM resources in microelectronics for genomics research.

ISCB will be honoring the 2021 Class of Fellows during the ISMB/ECCB 2021 virtual conference.

Congratulations, 2021 Class of ISCB Fellows!

Deadline to submit your abstract is TODAY!

Abstracts for Oral Presentation and Posters
Deadline: March 1, 2021

The clock is ticking --- submit your Abstracts for Oral Presentation and Poster Presentation TODAY!

A wide definition and inclusion of bioinformatics/computational biology will be considered, and topics of interest include the following:

Algorithms & Machine Learning
Bioinformatics Education
Biostatistics
Cheminformatics
Clinical & Health Informatics
Databases, Ontologies & Biocuration
Disease Models & Molecular Medicine
Epidemiology & Biodiversity
Evolutionary, Comparative Genomics & Phylogenetics
Gene Regulation & Transcriptomics
Genome Informatics
Image Analysis
Macromolecular Structure & Function
Metagenomics
Microbiome Informatics
Network Biology
Proteomics & Metabolomics
Sequence Analysis
Synthetic Biology
Systems Modeling
Text Mining & Natural Language Processing
Visualization

SUBMISSIONS

PROGRAM SCHEDULE

CONFERENCE INFORMATION

Mark your calendars for March 17, 2021 at 2:00 pm EDT!

Please use the link below to find more information or to register for:

March 17, 2021 EDT Recognising Indigenous Rights in Digital Sequence Information by Maui Hudson, University of Waikato. Hosted by ISCB

Indigenous concerns about genomic research have been strongly articulated over the past few years with accompanying suggestions about how to improve relationships with indigenous communities and the practice of research. Discussions are now moving towards how Indigenous rights can be recognised in the context of Digital Sequence Information including the recognition of provenance and sharing of protocols and permissions through labelling systems like Local Contexts.

Hosted by:

Register for an ISCB Webinar

ISCB Announces 2021 Award Recipients
Peer Bork, Barbara Engelhardt, Ben Raphael, Teresa Attwood!

The International Society of Computational Biology (ISCB) is pleased to announce the winners of the 2021 Accomplishments by a Senior Scientist Award, Overton Prize, Innovator Award, and Outstanding Contributions to ISCB Award.

Peer Bork, EMBL Heidelberg, is the winner of the Accomplishments by a Senior Scientist Award. Barbara Engelhardt, Princeton University, is the Overton Prize winner. Ben Raphael, Princeton University, is the winner of the ISCB Innovator Award. Teresa Attwood, Manchester University, has been selected as the winner of the Outstanding Contributions to ISCB Award.

"As chair of the Awards Selection Committee it gives me great pleasure to convey my heart-felt congratulations to this year’s awardees. Our community, as represented by the committee, admires these individuals’ outstanding achievements in research, training, and outreach."

- Martin Vingron, Chair, ISCB Awards Committee

Peer Bork, PhD
Director, EMBL Heidelberg (Scientific Activities), Germany

Recipient of ISCB Accomplishments by a Senior Scientist Award

The Accomplishments by a Senior Scientist Award recognizes a member of the computational biology community who is more than two decades post-degree and has made major contributions to the field of computational biology. Peer Bork is being honored as the 2021 recipient of this award.

Peer Bork has been at EMBL since 1991, head of Units since 2001; the current strategic head of Bioinformatics at EMBL Heidelberg since 2011 and an ERC Advanced Investigator. Bork received his PhD in biochemistry in 1990 and his habilitation in theoretical biophysics in 1995.

His group, the Bork group, focus on gaining insights into the functioning of biological systems and their evolution by comparative analysis and integration of complex molecular data. Together with other groups at EMBL, they hope to establish interaction maps between chemical compounds and microbes, individually and in communities using advanced multi-omics approaches, with application for human (e.g. individualized diet) or planetary health (e.g. pesticide response biomarkers).

Peer Bork has made tremendous contributions to bioinformatics on a plethora of fronts within the field. This includes his early work on protein domains (leading to the SMART database), genome analysis of higher eukaryotes (leading to authorships on the human, mouse, and rat genome papers), work on one of the most used methods for analysis of mutation data (PolyPhen), large-scale phylogeny (leading to iToL), inventing several of the method for inferring gene/protein networks (leading to the STRING database), analysis of drugs and adverse reactions (leading to STITCH and SIDER) and most recently pioneering microbiome research.

In addition to the research as evidenced in his impressive list of over 590 publications, he has had immense impact also as a mentor. The majority of his many postdocs over the years have moved on to become successful group leaders themselves.

		Barbara Engelhardt, PhD Associate Professor at Princeton University, New Jersey, United States Recipient of the ISCB Overton Prize

The Overton Prize recognizes the research, education, and service accomplishments of early to mid-career scientists who are emerging leaders in computational biology and bioinformatics. The Overton Prize was instituted in 2001 to honor the untimely loss of G. Christian Overton, a leading bioinformatics researcher and a founding member of the ISCB Board of Directors. Barbara Engelhardt is being recognized as the 2021 recipient of the Overton Prize. Barbara Engelhardt joined the Princeton Computer Science Department in 2014 from Duke University, where she had been an assistant professor in Biostatistics and Bioinformatics and Statistical Sciences. She graduated from Stanford University and received her Ph.D. from the University of California, Berkeley. Barbara Engelhardt’s research is in developing statistical models and machine learning methods for the analysis of biomedical data, with a focus on studying complex associations, time-series, sequential decision-making, and predicting the effects of perturbations in human cohorts, single cell data, and hospital patient data. In the field of single cell genomics, dimension reduction is a pressing problem and she has contributed a scalable and robust approach to dimension reduction using a Gaussian process latent variable model (GPLVM) with t-distributed residuals. Her group also developed approaches to determine the specific set of genes that differentiate particular types of cellular pathology images using machine learning methods like convolutional autoencoders and sparse canonical correlation analysis. Her research has a reputation for producing rigorous and creative statistical approaches for the analysis of complex biomedical data. As part of the Genotype-Tissue Expression (GTEx) Consortium, Dr. Engelhardt performed key analyses to identify regulatory DNA variation that is linked to distal gene expression changes (“trans-eQTLs”). In the context of this large scale experimental effort, she determined trans-eQTLs across 49 human tissues and 838 individuals. Notable results include a confirmation of the greater tissue specificity of trans-eQTL versus mutations that are nearby the gene they regulate. Based on her expertise and creativity she has contributed numerous novel machine learning and statistics methods to important projects from genomics, population genetics, and human genetics. Barbara Engelhardt has been an outspoken advocate for women and under-represented groups in the sciences. She has used her voice to advocate on behalf of these groups both through traditional means and on social media. Notably, Dr. Engelhardt's research group, housed in a computer science department, currently includes five women graduate students and postdocs and she has served as a mentor, both formally and informally for many women and individuals from under-represented groups, proving Dr. Engelhardt's status as a leader in the field of computational biology and bioinformatics.

		Ben Raphael, PhD Professor, Department of Computer Science, Lewis-Sigler Institute, Princeton University, New Jersey, United States Recipient of ISCB Innovator Award

The year 2016 marked the launch of the ISCB Innovator Award, which is given to a leading scientist who is within two decades of receiving the PhD degree, has consistently made outstanding contributions to the field, and continues to forge new directions. Ben Raphael is the 2021 recipient of the ISCB Innovator Award. Ben Raphael received an S.B. in Mathematics from MIT, a Ph.D. in Mathematics from the University of California, San Diego (UCSD), and completed postdoctoral training in Bioinformatics and Computer Science at UCSD. Ben Raphael is a Professor of Computer Science at Princeton University. His research focuses on the design of combinatorial and statistical algorithms for the interpretation of biological data. Recent areas of emphasis include cancer evolution, network/pathway analysis of genetic variants, and structural variation in human and cancer genomes. His group’s algorithms have been used in multiple projects from The Cancer Genome Atlas (TCGA) and the International Cancer Genome Consortium (ICGC). He co-led the TCGA Pancreatic Adenocarcinoma project and the network analysis in the ICGC Pan-Cancer Analysis of Whole Genomes (PCAWG). Ben is considered by many to be the leader in algorithmic computational cancer biology. He is the recipient of the Alfred P. Sloan Research Fellowship, the NSF CAREER award, and a Career Award at the Scientific Interface from the Burroughs Wellcome Fund. His papers cover a range of topics in computational cancer biology. These include the problems of separating genomic mixtures of cancer cells according to the mutations present in their genomes; analyzing temporal progression of mutations in cancer; identifying recurrent copy number aberrations; and discovering important sets of mutations across cohorts of cancer patients according to a statistical signal of anti-correlation, or mutual exclusivity, between mutations in the set. Several of Ben’s algorithms -- including his THetA and AncesTree algorithms for analyzing mixtures of cancer cells, his Dendrix and Multi-Dendrix algorithms for analyzing mutually exclusive mutations, and his HotNet algorithm (RECOMB 2010, Nature Genetics 2015) for network analysis of cancer mutations -- have become standards by which other research groups benchmark their algorithms. Ben’s computational approach to discover important cancer mutations using mutual exclusivity has inspired many other groups to work on this problem.

Teresa Attwood, PhD, Professor, the Department of Computer Science and School of Biological Sciences at the University of Manchester - Recipient of the ISCB Outstanding Contributions Award

Teresa Attwood, PhD,
Professor emerita, School of Computer Science, The University of Manchester

Recipient of the ISCB Outstanding Contributions Award

The Outstanding Contributions to ISCB Award recognizes an ISCB member for outstanding service contributions toward the betterment of ISCB through exemplary leadership, education, and service. The 2021 recipient of the Outstanding Contributions to ISCB Award is Teresa Attwood.

Attwood completed her PhD in Biophysics in just two years at the University of Leeds. She was subsequently awarded a prestigious Royal Society University Research Fellowship, which she held from 1993-2002. During the decade from 1996, she was also a visiting fellow at the European Bioinformatics Institute (EMBL-EBI). She gained a Chair in Bioinformatics in 2001, and is now Professor emerita of Bioinformatics in the School of Computer Science at The University of Manchester.

A visionary within the field, she saw early on the power of bioinformatics education. She co-authored (with David Parry-Smith) the first book in bioinformatics, which became a reference in Universities worldwide, and was translated into many different languages; she went on to co-author two further books: the first with Paul Higgs, the second with Steve Pettifer and Dave Thorne. Teresa was quick to recognize that ISCB was a key global player strongly promoting bioinformatics education.

Attwood has been a champion of the bioinformatics education community, where she has been instrumental in putting in place ISCB platforms that allow the education community to highlight their work and that raise the awareness of ISCB as a leader in bioinformatics education globally.

A longstanding and involved ISCB member, Attwood continued to further bioinformatics education on behalf of the global bioinformatics community and ISCB through many years of service. In 2001, she joined Phil Bourne’s ISCB Education Working Group to define the topic areas in a complete bioinformatics curriculum and identify the available learning resources. This group was the precursor of the creation of the ISCB Education Committee (2002).

Attwood was instrumental in launching the Global Organization for Bioinformatics Learning, Education and Training (GOBLET, 2012) as a network of global training organizations and individuals, and was its Chair for the first 7 years. Understanding the need to link GOBLET with ISCB, Terri worked with Fran Lewitter on the ISCB Education Committee Leadership Task Force (Summer 2016) to align the missions of GOBLET with those of ISCB and the emerging Education COSI, thereby ensuring the two organizations work in harmony towards their respective goals.

Teresa Attwood is being recognized for her many years of significant contributions to both ISCB and the broad bioinformatics and bio-curation communities, including as creator of the PRINTS protein fingerprint database, and co-founder of the InterPro protein family database with Amos Bairoch, Rolf Apweiler and Richard Durbin.

ISCB will present the Accomplishments by a Senior Scientist Award, Overton Prize, Innovator Award and Outstanding Contributions to ISCB Award, at ISMB/ECCB 2021 (https://www.iscb.org/ismbeccb2021), which will take place in virtually, July 26-30, 2021.

Full bibliographical articles profiling the award recipients will be available in the ISMB/ECCB 2021 focus issue of the ISCB newsletter later this year, as well as the ISCB Society Pages in OUP Bioinformatics, and F1000 Research ISCB Community Journal.

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Announcements

March 05, 2021: ISCB Africa ASBCB : Call for Submissions

March 02, 2021: ISCB Congratulates and Introduces the 2021 Class of Fellows!

March 01, 2021: GLBIO 2021: FINAL Hours to Submit

February 25, 2021: Register today for the next ISCBacademy Webinar

February 18, 2021: ISCB Congratulates 2021 Award Winners