Timothy A. Beck

ORCID: 0000-0003-0145-3557
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About
Contact & Profiles
Research Areas
  • Cancer Genomics and Diagnostics
  • Genomics and Phylogenetic Studies
  • Radiomics and Machine Learning in Medical Imaging
  • AI in cancer detection
  • Cancer-related molecular mechanisms research
  • RNA modifications and cancer
  • Cell Image Analysis Techniques
  • Pancreatic and Hepatic Oncology Research
  • Genetic factors in colorectal cancer
  • Genomics and Rare Diseases
  • Evolution and Genetic Dynamics
  • Molecular Biology Techniques and Applications
  • Prostate Cancer Treatment and Research
  • Mitochondrial Function and Pathology
  • Genomic variations and chromosomal abnormalities
  • Single-cell and spatial transcriptomics
  • Cancer Cells and Metastasis
  • Bioinformatics and Genomic Networks
  • RNA Research and Splicing
  • Genetics, Bioinformatics, and Biomedical Research
  • Nutrition, Genetics, and Disease
  • Prostate Cancer Diagnosis and Treatment
  • Chromosomal and Genetic Variations
  • High Altitude and Hypoxia
  • Video Analysis and Summarization

Ontario Institute for Cancer Research
2012-2023

Human Longevity (United States)
2019-2020

University of California, Davis
2016

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
Andrew V. Biankin Nicola Waddell Karin S. Kassahn Marie‐Claude Gingras Lakshmi Muthuswamy and 95 more Amber L. Johns David K. Miller Peter J. Wilson Ann‐Marie Patch Jianmin Wu David K. Chang Mark J. Cowley Brooke Gardiner Sarah Song Ivon Harliwong Senel Idrisoglu Craig Nourse Ehsan Nourbakhsh Suzanne Manning Shivangi Wani Milena Gongora Marina Pajic Christopher J. Scarlett Anthony J. Gill Andreia V. Pinho Ilse Rooman Matthew J. Anderson Oliver Holmes Conrad Leonard Darrin F. Taylor Scott Wood Qinying Xu Kátia Nones J. Lynn Fink Angelika N. Christ Timothy J. C. Bruxner Nicole Cloonan Gabriel Kolle Felicity Newell Mark Pinese R. Scott Mead Jeremy L. Humphris Warren Kaplan Marc D. Jones Emily K. Colvin Adnan Nagrial Emily S. Humphrey Angela Chou Venessa Chin Lorraine A. Chantrill Amanda Mawson Jaswinder S. Samra James G. Kench Jessica A. Lovell Roger J. Daly Neil D. Merrett Christopher W. Toon Krishna Epari Nam Q. Nguyen Andrew P. Barbour Nikolajs Zeps Nipun Kakkar Fengmei Zhao Yuan Wu Min Wang Donna M. Muzny William E. Fisher F. Charles Brunicardi Sally E. Hodges Jeffrey G. Reid Jennifer Drummond Kyle Chang Yi Han Lora Lewis Huyen Dinh Christian Buhay Timothy A. Beck Lee E. Timms Michelle Sam Kimberly Begley Andrew Brown Deepa Pai Ami Panchal Nicholas Buchner Richard de Borja Robert E. Denroche Christina K. Yung Stefano Serra Nicole Onetto Debabrata Mukhopadhyay Ming‐Sound Tsao Patricia A. Shaw Gloria M. Petersen Steven Gallinger Ralph H. Hruban Anirban Maitra Christine A. Iacobuzio‐Donahue Richard D. Schulick Christopher L. Wolfgang Richard A. Morgan

10.1038/nature11547 article EN Nature 2012-10-24
Yuan Yuan Young Seok Ju Young-Wook Kim Jun Li Yumeng Wang and 95 more Sung-Soo Yoon Yang Yang Iñigo Martincorena Chad J. Creighton John N. Weinstein Yanxun Xu Leng Han Hyung‐Lae Kim Hidewaki Nakagawa Keunchil Park Peter J. Campbell Han Liang Lauri A. Aaltonen Federico Abascal Adam Abeshouse Hiroyuki Aburatani David J. Adams 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 Peter J. 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 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 Bergmann Erik N. Bergstrom Benjamin P. Berman Daniel M. Berney Stephan Wolf Rameen Beroukhim Mario Berríos

Mitochondria are essential cellular organelles that play critical roles in cancer. Here, as part of the International Cancer Genome Consortium/The Atlas Pan-Cancer Analysis Whole Genomes Consortium, which aggregated whole-genome sequencing data from 2,658 cancers across 38 tumor types, we performed a multidimensional, integrated characterization mitochondrial genomes and related RNA data. Our analysis presents most definitive mutational landscape identifies several hypermutated cases....

10.1038/s41588-019-0557-x article EN cc-by Nature Genetics 2020-02-05

Abstract As whole-genome sequencing for cancer genome analysis becomes a clinical tool, full understanding of the variables affecting output is required. Here using tumour-normal sample pairs from two different types cancer, chronic lymphocytic leukaemia and medulloblastoma, we conduct benchmarking exercise within context International Cancer Genome Consortium. We compare methods, pipelines validation methods. show that PCR-free methods increasing depth to ∼100 × shows benefits, as long...

10.1038/ncomms10001 article EN cc-by Nature Communications 2015-12-09

A locus on human chromosome 11q23 tagged by marker rs3802842 was associated with colorectal cancer (CRC) in a genome-wide association study; this finding has been replicated case-control studies worldwide. In order to identify biologic factors at that are related the etiopathology of CRC, we used microarray-based target selection methods, coupled next-generation sequencing, study 103 kb locus. We genotyped 369 putative variants from 1,030 patients CRC (cases) and 1,061 individuals without...

10.1002/ijc.28557 article EN cc-by-nc-nd International Journal of Cancer 2013-10-24

Abstract As next-generation sequencing becomes a clinical tool, full understanding of the variables affecting analysis output is required. Through International Cancer Genome Consortium (ICGC), we compared pipelines at five independent centers (CNAG, DKFZ, OICR, RIKEN and WTSI) using single tumor-blood DNA pair. Analyses by each center with one standardized algorithm revealed significant discrepancies. Although most performed well for coding mutations, library preparation methods coverage...

10.1101/013177 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2014-12-24

Abstract The emergence of next generation DNA sequencing technology is enabling high-resolution cancer genome analysis. Large-scale projects like the International Cancer Genome Consortium (ICGC) are systematically scanning genomes to identify recurrent somatic mutations. Second sequencing, however, still an evolving and procedures, both experimental analytical, constantly changing. Thus research community defining a set best practices for data analysis, with no single protocol emerging...

10.1101/012997 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2014-12-24

Accurate detection of somatic single nucleotide variants and small insertions deletions from DNA sequencing experiments tumour-normal pairs is a challenging task. Tumour samples are often contaminated with normal cells confounding the available evidence for variants. Furthermore, tumours heterogeneous so sub-clonal observed at reduced allele frequencies. We present here cell-line titration series dataset that can be used to evaluate variant calling pipelines goal reliably true mutations low...

10.1186/s13104-015-1803-7 article EN cc-by BMC Research Notes 2015-12-01

Abstract Genomic rearrangements are a hallmark of cancer biology and progression, allowing cells to rapidly transform through alterations in regulatory structures, changes expression patterns, reprogramming signaling pathways, creation novel transcripts via gene fusion events. Though functional fusions encoding oncogenic proteins the most dramatic outcomes genomic rearrangements, we investigated relationship between evidenced by local using transcriptome data alone. 9,953 predictions from...

10.1038/s41598-019-39878-9 article EN cc-by Scientific Reports 2019-03-05

Abstract Genomic instability is one of the hallmarks cancer, leading to widespread copy number variations, chromosomal fusions, and other structural variations in many cancers. The breast cancer cell line SK-BR-3 an important model for HER2+ cancers, which are among most aggressive forms disease affect five cases. Through short read sequencing, arrays, technologies, genome known be highly rearranged with including approximately twenty-fold amplification HER2 oncogene, along numerous...

10.1158/1538-7445.am2016-850 article EN Cancer Research 2016-07-15

Abstract Men with localized prostate cancer vary widely in clinical outcome, a 30-50% failure rate after primary treatment. There is thus significant interest developing genomically refined prognostic groups. We sought to evaluate the extent of genetic heterogeneity, both between patients (inter-prostate) and within individual glands (intra-prostate) assess impact heterogeneity on risk stratification tight cohort. Copy number aberrations (CNAs) from 75 Gleason 7 were determined by OncoScan...

10.1158/1535-7163.targ-13-b129 article EN Molecular Cancer Therapeutics 2013-11-01

Abstract Intermediate risk prostate cancer (CaP) with Gleason score (GS) of 7 show up to 100x variability in genetic instability. As CaP is multifocal and likely multiclonal, there a need characterize heterogeneity for patient stratification, which would increase the ability act on genomic information by adding adjuvant therapies offset systemic occult metastases that currently limit cure ∼30% patients. Individual portraits could be used improve combined clinical-molecular staging criteria....

10.1158/1538-7445.am2013-2003 article EN Cancer Research 2013-04-01

Five to ten percent of pancreatic cancer (PC) clusters within families. Epidemiologic studies suggest that Familial Pancreas Cancer (FPC) is caused by highly penetrant germline mutations, but less than 20% these genes have been identified. Characterizing the remaining genetic basis FPC should improve outcomes through molecularly tailored prevention, screening and treatment protocols. Exome sequencing (ES) a powerful new approach for detecting causes disease. However, causal mutation often...

10.1158/1538-7445.panca2012-a15 article EN Genetics. 2012-07-15
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