Gary D. Bader

ORCID: 0000-0003-0185-8861
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About
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Research Areas
  • Bioinformatics and Genomic Networks
  • Cancer Genomics and Diagnostics
  • Single-cell and spatial transcriptomics
  • Gene expression and cancer classification
  • Epigenetics and DNA Methylation
  • Microbial Metabolic Engineering and Bioproduction
  • Computational Drug Discovery Methods
  • Biomedical Text Mining and Ontologies
  • Gene Regulatory Network Analysis
  • Genetics, Bioinformatics, and Biomedical Research
  • Cell Image Analysis Techniques
  • Cancer-related gene regulation
  • Acute Myeloid Leukemia Research
  • RNA Research and Splicing
  • MicroRNA in disease regulation
  • Glioma Diagnosis and Treatment
  • Genomics and Rare Diseases
  • Ubiquitin and proteasome pathways
  • RNA modifications and cancer
  • Immune cells in cancer
  • Protein Structure and Dynamics
  • Cancer Cells and Metastasis
  • Histone Deacetylase Inhibitors Research
  • Genomics and Chromatin Dynamics
  • Scientific Computing and Data Management

University of Toronto
2016-2025

Lunenfeld-Tanenbaum Research Institute
2016-2025

University Health Network
2020-2025

Princess Margaret Cancer Centre
2020-2025

Canadian Institute for Advanced Research
2023-2025

Mount Sinai Hospital
2010-2024

Cellular Research (United States)
2024

University of Waterloo
2024

Sinai Health System
2020-2024

Donnelly College
2012-2023

Recent advances in proteomics technologies such as two-hybrid, phage display and mass spectrometry have enabled us to create a detailed map of biomolecular interaction networks. Initial mapping efforts already produced wealth data. As the size set increases, databases computational methods will be required store, visualize analyze information order effectively aid knowledge discovery. This paper describes novel graph theoretic clustering algorithm, "Molecular Complex Detection" (MCODE), that...

10.1186/1471-2105-4-2 article EN cc-by BMC Bioinformatics 2003-01-13

GeneMANIA (http://www.genemania.org) is a flexible, user-friendly web interface for generating hypotheses about gene function, analyzing lists and prioritizing genes functional assays. Given query list, extends the list with functionally similar that it identifies using available genomics proteomics data. also reports weights indicate predictive value of each selected data set query. Six organisms are currently supported (Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster,...

10.1093/nar/gkq537 article EN cc-by-nc Nucleic Acids Research 2010-06-21
Lauri A. Aaltonen Federico Abascal Adam Abeshouse Hiroyuki Aburatani David J. Adams and 95 more Nishant Agrawal Keun Soo Ahn Sung-Min Ahn Hiroshi Aikata Rehan Akbani Kadir C. Akdemir Hikmat Al‐Ahmadie Sultan T. Al‐Sedairy Fátima Al‐Shahrour Malik Alawi Monique Albert Kenneth Aldape Ludmil B. Alexandrov Adrian Ally Kathryn Alsop Eva G. Álvarez Fernanda Amary Samirkumar B. Amin Brice Aminou Ole Ammerpohl Matthew J. Anderson Yeng Ang Davide Antonello Pavana Anur Samuel Aparício Elizabeth L. Appelbaum Yasuhito Arai Axel Aretz Koji Arihiro Shun‐ichi Ariizumi Joshua Armenia Laurent Arnould L. Sylvia Yassen Assenov Gurnit Atwal Sietse Aukema J. Todd Auman Miriam R. R. Aure Philip Awadalla Marta Aymerich Gary D. Bader Adrian Baez‐Ortega Matthew H. Bailey Peter J. Bailey Miruna Balasundaram Saianand Balu Pratiti Bandopadhayay Rosamonde E. Banks Stefano Barbi Andrew P. Barbour Jonathan Barenboim Jill S. Barnholtz‐Sloan Hugh Barr Elisabet Barrera John G. Bartlett Javier Bartolomé Claudio Bassi Oliver F. Bathe Daniel Baumhoer Prashant Bavi Stephen B. Baylin Wojciech Bażant Duncan Beardsmore Timothy A. Beck Sam Behjati Andreas Behren Beifang Niu Cindy Bell Sergi Beltrán Christopher C. Benz Andrew Berchuck Anke K. Bergmann Erik N. Bergstrom Benjamin P. Berman Daniel M. Berney Stephan Wolf Rameen Beroukhim Mario Berríos Samantha Bersani Johanna Bertl Miguel Betancourt Vinayak Bhandari Shriram G. Bhosle Andrew V. Biankin Matthias Bieg Darell D. Bigner Hans Binder Ewan Birney Michael J. Birrer Nidhan K. Biswas Bodil Bjerkehagen Tom Bodenheimer Lori Boice Giada Bonizzato Johann S. de Bono

Abstract Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation this variation at whole-genome scale 1–3 . Here we report integrative analysis 2,658 whole-cancer genomes their matching normal tissues across 38 tumour types from Pan-Cancer Analysis Whole Genomes (PCAWG) Consortium International Genome (ICGC) The Atlas (TCGA). We describe generation PCAWG resource, facilitated international data sharing using compute clouds. On...

10.1038/s41586-020-1969-6 article EN cc-by Nature 2020-02-05
Thomas J. Hudson Warwick P. Anderson Axel Aretz Anna D. Barker Cindy Bell and 95 more Rosa R. Bernabé M. K. Bhan Fabien Calvo Iiro Eerola Daniela S. Gerhard Alan F. Guttmacher Mark S. Guyer Fiona M. Hemsley Jennifer L. Jennings David Kerr Peter Klatt Patrik Kolar Jun Kusuda David P. Lane Frank Laplace Youyong Lu Gerd Nettekoven Brad Ozenberger Jane L. Peterson T. S. Rao Jacques Remacle Alan J. Schafer Tatsuhiro Shibata Michael R. Stratton Joseph G. Vockley Koichi Watanabe Huanming Yang M.M.F. Yuen Bartha Maria Knoppers Martin Bobrow Anne Cambon‐Thomsen Lynn G. Dressler Stephanie O. M. Dyke Yann Joly Yoshihiro Kato Karen L. Kennedy Pilar Nicolás Michael Parker Emmanuelle Rial‐Sebbag Carlos M. Romeo-Casabona Kenna M. Shaw Susan Wallace Georgia L. Wiesner Nikolajs Zeps Peter Lichter Andrew V. Biankin Christian Chabannon Lynda Chin Bruno Clément Enrique de Álava Françoise Degos Martin L. Ferguson Peter Geary D. Neil Hayes Amber L. Johns Arek Kasprzyk Hidewaki Nakagawa Robert Penny Miguel Á. Piris Rajiv Sarin Aldo Scarpa Marc J. van de Vijver P. Andrew Futreal Hiroyuki Aburatani Mónica Bayés David D.L. Bowtell Peter J. Campbel Xavier Estivill Sean M. Grimmond Ivo Gut Martin Hirst Carlos López-Otı́n Partha Majumder Marco A. Marra John D. McPherson Zemin Ning Xosé S. Puente Yijun Ruan H.G. Stunnenberg Harold Swerdlow Victor E. Velculescu Richard K. Wilson Hong Xue Liu Yang Paul T. Spellman Gary D. Bader Paul C. Boutros Paul Flicek Gad Getz Roderic Guigó Guangwu Guo David Haussler Simon Heath Tim Hubbard Tao Jiang

10.1038/nature08987 article EN Nature 2010-04-13

A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic interactions, generating quantitative profiles approximately 75% of all genes in the budding yeast, Saccharomyces cerevisiae. network based on reveals a functional cell which similar biological processes cluster together coherent subsets, and highly correlated delineate specific pathways to define gene function. The global identifies cross-connections between bioprocesses, mapping...

10.1126/science.1180823 article EN Science 2010-01-21

In Saccharomyces cerevisiae , more than 80% of the ∼6200 predicted genes are nonessential, implying that genome is buffered from phenotypic consequences genetic perturbation. To evaluate function, we developed a method for systematic construction double mutants, termed synthetic array (SGA) analysis, in which query mutation crossed to an ∼4700 deletion mutants. Inviable double-mutant meiotic progeny identify functional relationships between genes. SGA analysis with roles cytoskeletal...

10.1126/science.1065810 article EN Science 2001-12-14

Background Gene-set enrichment analysis is a useful technique to help functionally characterize large gene lists, such as the results of expression experiments. This finds coherent gene-sets, pathways, that are statistically over-represented in given list. Ideally, number resulting sets smaller than genes list, thus simplifying interpretation. However, increasing and redundancy gene-sets used by many current software works against this ideal. Principal Findings To overcome gene-set...

10.1371/journal.pone.0013984 article EN cc-by PLoS ONE 2010-11-15

A genetic interaction network containing approximately 1000 genes and 4000 interactions was mapped by crossing mutations in 132 different query into a set of 4700 viable gene yeast deletion mutants scoring the double mutant progeny for fitness defects. Network connectivity predictive function because often occurred among functionally related genes, similar patterns tended to identify components same pathway. The exhibited dense local neighborhoods; therefore, position on partially is other...

10.1126/science.1091317 article EN Science 2004-02-05
Dalila Pinto Alistair T. Pagnamenta Lambertus Klei Richard Anney Daniele Merico and 95 more Regina Regan Judith Conroy Tiago R. Magalhães Catarina Correia Brett S. Abrahams Joana Almeida Elena Bacchelli Gary D. Bader Anthony Bailey Gillian Baird Agatino Battaglia T. P. Berney Nadia Bolshakova Sven Bölte Patrick Bolton Thomas Bourgeron S. Brennan Jessica Brian Susan E. Bryson Andrew R. Carson Guillermo Casallo Jillian P. Casey Brian Hon‐Yin Chung Lynne Cochrane Christina Corsello Emily L. Crawford Andrew Crossett Cheryl Cytrynbaum Géraldine Dawson Maretha Jonge Richard Delorme Irene Drmic Eftichia Duketis Frederico Duque Annette Estes Penny Farrar Bridget A. Fernandez Susan E. Folstein Éric Fombonne Christine M. Freitag John R. Gilbert Christopher Gillberg Joseph Glessner Jeremy Goldberg Andrew Green Jonathan Green Stephen J. Guter Hákon Hákonarson Elizabeth A. Heron Matthew Hill Richard Holt Jennifer Howe Gillian Hughes Vanessa Hus Roberta Igliozzi Cecilia Kim Sabine M. Klauck Alexander Kolevzon Olena Korvatska Vlad Kustanovich Clara Lajonchere Janine A. Lamb Magdalena Laskawiec Marion Leboyer Ann Le Couteur Bennett Leventhal Anath C. Lionel Xiaoqing Liu Catherine Lord Linda Lotspeich Sabata C. Lund Elena Maestrini William J. Mahoney Carine Mantoulan Christian R. Marshall Helen McConachie Christopher J. McDougle Jane McGrath William M. McMahon Alison Merikangas Ohsuke Migita Nancy J. Minshew Ghazala Mirza Jeff Munson Stanley F. Nelson Carolyn Noakes Abdul Noor Gudrun Nygren Guiomar Oliveira Κaterina Papanikolaou Jeremy Parr Barbara Parrini Tara Paton Andrew Pickles Marion Pilorge

10.1038/nature09146 article EN Nature 2010-06-08

The Reactome Knowledgebase (https://reactome.org), an Elixir core resource, provides manually curated molecular details across a broad range of physiological and pathological biological processes in humans, including both hereditary acquired disease processes. are annotated as ordered network transformations single consistent data model. thus functions digital archive human tool for discovering functional relationships such gene expression profiles or somatic mutation catalogs from tumor...

10.1093/nar/gkab1028 article EN cc-by Nucleic Acids Research 2021-10-14

The Biomolecular Interaction Network Database (BIND; http://binddb.org) is a database designed to store full descriptions of interactions, molecular complexes and pathways. Development the BIND 2.0 data model has led incorporation virtually all components mechanisms including interactions between any two molecules composed proteins, nucleic acids small molecules. Chemical reactions, photochemical activation conformational changes can also be described. Everything from molecule biochemistry...

10.1093/nar/29.1.242 article EN public-domain Nucleic Acids Research 2001-01-01

The liver is the largest solid organ in body and critical for metabolic immune functions. However, little known about cells that make up human its microenvironment. Here we report a map of cellular landscape using single-cell RNA sequencing. We provide transcriptional profiles 8444 parenchymal non-parenchymal obtained from fractionation fresh hepatic tissue five livers. Using gene expression patterns, flow cytometry, immunohistochemical examinations, identify 20 discrete cell populations...

10.1038/s41467-018-06318-7 article EN cc-by Nature Communications 2018-10-16

Pathway Commons ( http://www.pathwaycommons.org ) is a collection of publicly available pathway data from multiple organisms. provides web-based interface that enables biologists to browse and search comprehensive pathways sources represented in common language, download site integrated bulk sets information standard or convenient formats web service software developers can use conveniently query access all data. Database providers share their via repository. Pathways include biochemical...

10.1093/nar/gkq1039 article EN cc-by-nc Nucleic Acids Research 2010-11-10

The Biomolecular Interaction Network Database (BIND: http://bind.ca ) archives biomolecular interaction, complex and pathway information. A web-based system is available to query, view submit records. BIND continues grow with the addition of individual submissions as well interaction data from PDB a number large-scale mapping experiments using yeast two hybrid, mass spectrometry, genetic interactions phage display. We have developed new graphical analysis tool that provides users domain...

10.1093/nar/gkg056 article EN Nucleic Acids Research 2003-01-01
Florence M.G. Cavalli Marc Remke Ladislav Rampášek John Peacock David Shih and 90 more Betty Luu Livia Garzia Jonathon Torchia Carolina Nör A. Sorana Morrissy Sameer Agnihotri Yuan Thompson Claudia M. Kuzan-Fischer Hamza Farooq Keren Isaev Craig Daniels Byung-Kyu Cho Seung-Ki Kim Kyu‐Chang Wang Ji Yeoun Lee Wiesława Grajkowska Marta Perek‐Polnik Alexandre Vasiljevic Cécile Faure‐Conter Anne Jouvet Caterina Giannini Amulya A. Nageswara Rao Kay Ka Wai Li Ho‐Keung Ng Charles G. Eberhart Ian F. Pollack Ronald L. Hamilton G. Yancey Gillespie James M. Olson Sarah Leary William A. Weiss Bolesław Lach Lola B. Chambless Reid C. Thompson Michael K. Cooper Rajeev Vibhakar Péter Hauser Marie‐Lise C. van Veelen Johan M. Kros Pim J. French Young Seob Shin Toshihiro Kumabe Enrique López‐Aguilar Karel Zitterbart Jaroslav Štěrba Gaetano Finocchiaro Maura Massimino Erwin G. Van Meir Satoru Osuka Tomoko Shofuda Álmos Klekner Massimo Zollo Jeffrey R. Leonard Joshua B. Rubin Nada Jabado Steffen Albrecht Jaume Mora Timothy Van Meter Shin Jung Andrew S. Moore Andrew R. Hallahan Jennifer A. Chan Daniela Pretti da Cunha Tirapelli Carlos Gilberto Carlotti Maryam Fouladi José Pimentel Cláudia C. Faria Ali G. Saad Luca Massimi Linda M. Liau Helen Wheeler Hideo Nakamura Samer K. Elbabaa Mario Pérezpeña-Díazconti Fernando Chico Ponce de León Shenandoah Robinson Michal Zápotocký Álvaro Lassaletta Annie Huang Cynthia Hawkins Uri Tabori Éric Bouffet Ute Bartels Peter B. Dirks James T. Rutka Gary D. Bader Jüri Reimand Anna Goldenberg Vijay Ramaswamy Michael D. Taylor

10.1016/j.ccell.2017.05.005 article EN publisher-specific-oa Cancer Cell 2017-06-01

10.1038/s41586-020-2188-x article EN Nature 2020-04-08

GeneMANIA (http://genemania.org) is a flexible user-friendly web site for generating hypotheses about gene function, analyzing lists and prioritizing genes functional assays. Given query list, finds functionally similar using wealth of genomics proteomics data. In this mode, it weights each genomic dataset according to its predictive value the query. Another use function prediction. single gene, likely share with based on their interactions it. Enriched Gene Ontology categories among set can...

10.1093/nar/gky311 article EN cc-by Nucleic Acids Research 2018-06-13

Abstract Cytoscape is one of the most popular open‐source software tools for visual exploration biomedical networks composed protein, gene, and other types interactions. It offers researchers a versatile interactive visualization interface exploring complex biological interconnections supported by diverse annotation experimental data, thereby facilitating research tasks such as predicting gene function constructing pathways. provides core functionality to load, visualize, search, filter,...

10.1002/0471250953.bi0813s47 article EN Current Protocols in Bioinformatics 2014-09-01

10.1038/nbt.1666 article EN Nature Biotechnology 2010-09-01
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