About: Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection

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scientific article published on 06 November 2018

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rdf:type	Item
description	wetenschappelijk artikel (nl) наукова стаття, опублікована в листопаді 2018 (uk) im November 2018 veröffentlichter wissenschaftlicher Artikel (de) artículu científicu espublizáu en payares de 2018 (ast) scientific article published on 06 November 2018 (en)
publication date	wds:Q58606919-288B93E9-4084-4FA1-A6AB-3C4DA099662F
publication date	2018-11-06 00:00:00Z (xsd:dateTime)
language of work or name	wds:Q58606919-9A25FBDE-F948-46F3-B52B-369501B7D831
language of work or name	English
cites work	wds:Q58606919-0B437BA6-B2A5-4A71-BD5F-72E76F398848 wds:Q58606919-10D620E0-71C5-476B-B832-B77AFCD2435A wds:Q58606919-3F581697-1A57-4B40-A9E5-43283DFBB0F1 wds:Q58606919-5096C0C2-5D50-4F26-81EC-798BC1954FD7 wds:Q58606919-61D3AFB7-EB81-4DEF-BB8F-E7CF7FC5557C wds:Q58606919-65B22D9F-8B66-4E08-A39D-97DF11FEBEDC wds:Q58606919-6C394FFB-909C-45C4-BB9A-FA7E9AFF0F8C wds:Q58606919-71AA0545-2117-49B4-9404-AD50817D8725 wds:Q58606919-7DFE0B3F-5F16-4EFF-81C2-E67660B55012 wds:Q58606919-84D220A9-D617-4215-820F-6A1D6321D889 wds:Q58606919-84FA59CE-BBFD-40D1-87DD-6A1026FFCE01 wds:Q58606919-96001BFA-D21E-4A34-8383-EFD206478B93 wds:Q58606919-9B6B4B14-D112-4CE7-8A88-2B41D9276C51 wds:Q58606919-9E4634D4-A8A7-466B-8F9B-43A300E73B40 wds:Q58606919-A85769D9-288E-499A-8099-3B2096F99D47 wds:Q58606919-A9B7131D-72DF-423E-A7CD-23FA73F47D0A wds:Q58606919-BA105303-F9DB-4C6D-8C2D-3E960E3E2A71 wds:Q58606919-C2C17D61-68B6-458D-9993-EB961E1D720E wds:Q58606919-C7C9BE2E-4D9A-4DF0-8438-B9C8CCA63EBF wds:Q58606919-C9CD9F47-35EE-49FC-BCE4-5454DBD91CD7 wds:Q58606919-DC85C09C-61A1-4500-84EC-9CBCD2D1F5B8 wds:Q58606919-E03D3D89-6FF6-4A0A-B00C-5439E2F5930E wds:Q58606919-E5008DE6-5402-466B-9EA6-6C0463C71107 wds:Q58606919-E8713F7F-3491-4E9C-8DD9-922144C6835D wds:Q58606919-E8CE7291-DCB6-4FFA-BFEF-92EBB527D769 wds:Q58606919-F41279C5-9245-4AAB-A681-7A15E15BF18E wds:Q58606919-FE7BFB41-CE39-4136-BC5B-FCA45829CBBD wds:Q58606919-FED9E383-3654-41A6-999E-9DD1BEE8C1A7
cites work	BEDTools: a flexible suite of utilities for comparing genomic features MetaSV: an accurate and integrative structural-variant caller for next generation sequencing Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer Computational methods for discovering structural variation with next-generation sequencing Use of all-trans retinoic acid in the treatment of acute promyelocytic leukemia Velvet: algorithms for de novo short read assembly using de Bruijn graphs Generation of artificial FASTQ files to evaluate the performance of next-generation sequencing pipelines CREST maps somatic structural variation in cancer genomes with base-pair resolution. Tumour genomic and microenvironmental heterogeneity for integrated prediction of 5-year biochemical recurrence of prostate cancer: a retrospective cohort study BreakDancer: an algorithm for high-resolution mapping of genomic structural variation Automated generation of heuristics for biological sequence comparison Pebble and rock band: heuristic resolution of repeats and scaffolding in the velvet short-read de novo assembler Comparative genome assembly. Translocation of the c-myc gene into the immunoglobulin heavy chain locus in human Burkitt lymphoma and murine plasmacytoma cells Wisdom of crowds for robust gene network inference DELLY: structural variant discovery by integrated paired-end and split-read analysis Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries Bias in random forest variable importance measures: illustrations, sources and a solution Verification of systems biology research in the age of collaborative competition Next-generation VariationHunter: combinatorial algorithms for transposon insertion discovery Enhancer hijacking activates GFI1 family oncogenes in medulloblastoma Toward better benchmarking: challenge-based methods assessment in cancer genomics Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection Detection of Genomic Structural Variants from Next-Generation Sequencing Data Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. novoBreak: local assembly for breakpoint detection in cancer genomes A tumor DNA complex aberration index is an independent predictor of survival in breast and ovarian cancer A bedr way of genomic interval processing
author name string	wds:Q58606919-3A568FD5-EF1D-4F56-9E66-0C095E814DA5 wds:Q58606919-515E1C2B-29E3-49B2-BB6D-82247A29D535 wds:Q58606919-81F297D5-ACA9-4630-BF3F-ABFB2F1522D1 wds:Q58606919-A0BFA39C-CB65-497C-BA83-189C8109B656 wds:Q58606919-AEC77725-B754-439E-B8C9-798CE9CF63F5 wds:Q58606919-C604B593-9060-4F3B-8DC6-329A17285151 wds:Q58606919-FCB54F11-92E7-48DB-8EF6-9F007E0BA148
author name string	David Haussler Ken Chen Zechen Chong Yin Hu Anna Y Lee Shadrielle Melijah G Espiritu ICGC-TCGA DREAM Somatic Mutation Calling Challenge Participants
rdfs:label	Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection (en) Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection (nl)
skos:prefLabel	Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection (en) Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection (nl)
name	Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection (en) Combining accurate tumor genome simulation with crowdsourcing to benchmark somatic structural variant detection (nl)
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