Literature DB >> 20427421

Application of second-generation sequencing to cancer genomics.

Keith Robison1.   

Abstract

New generations of DNA sequencing technologies are enabling the systematic study of genetic derangement in cancers. Sequencing of cancer exomes or transcriptomes or even entire cancer genomes are now possible, though technical and economic challenges remain. Cancer samples are inherently heterogeneous and are often contaminated with normal DNA, placing additional demands on informatics tools for detecting genetic variation. However, even low coverage sequencing data can provide valuable information on genetic rearrangements, amplifications and losses in tumor genomes. Novel recurrent oncogenic mutations and fusion transcripts have been discovered with these technologies. In some sequenced cancer genomes, tens of thousands of genetic alterations have been discovered. While this enables the detailed dissection of mutation classes, it also presents a formidable informatics problem of sorting active 'driver' mutations from inactive 'passenger' mutations in order to prioritize these for further experimental characterization.

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Mesh:

Year:  2010        PMID: 20427421     DOI: 10.1093/bib/bbq013

Source DB:  PubMed          Journal:  Brief Bioinform        ISSN: 1467-5463            Impact factor:   11.622


  19 in total

1.  Translating cancer 'omics' to improved outcomes.

Authors:  Emily A Vucic; Kelsie L Thu; Keith Robison; Leszek A Rybaczyk; Raj Chari; Carlos E Alvarez; Wan L Lam
Journal:  Genome Res       Date:  2012-02       Impact factor: 9.043

2.  A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.

Authors:  Heng Li
Journal:  Bioinformatics       Date:  2011-09-08       Impact factor: 6.937

3.  Review of massively parallel DNA sequencing technologies.

Authors:  Sowmiya Moorthie; Christopher J Mattocks; Caroline F Wright
Journal:  Hugo J       Date:  2011-10-27

Review 4.  Application of next generation sequencing to human gene fusion detection: computational tools, features and perspectives.

Authors:  Qingguo Wang; Junfeng Xia; Peilin Jia; William Pao; Zhongming Zhao
Journal:  Brief Bioinform       Date:  2012-08-09       Impact factor: 11.622

5.  Functional annotation of noncoding variants and prioritization of cancer-associated lncRNAs in lung cancer.

Authors:  Hua Li; Xin Lv
Journal:  Oncol Lett       Date:  2016-05-18       Impact factor: 2.967

6.  Prioritization of non-coding disease-causing variants and long non-coding RNAs in liver cancer.

Authors:  Hua Li; Zekun He; Yang Gu; Lin Fang; Xin Lv
Journal:  Oncol Lett       Date:  2016-09-14       Impact factor: 2.967

7.  Consistency-based detection of potential tumor-specific deletions in matched normal/tumor genomes.

Authors:  Roland Wittler; Cedric Chauve
Journal:  BMC Bioinformatics       Date:  2011-10-05       Impact factor: 3.169

8.  COLD-PCR enrichment of rare cancer mutations prior to targeted amplicon resequencing.

Authors:  Coren A Milbury; Mick Correll; John Quackenbush; Renee Rubio; G Mike Makrigiorgos
Journal:  Clin Chem       Date:  2011-12-21       Impact factor: 8.327

9.  NGS catalog: A database of next generation sequencing studies in humans.

Authors:  Junfeng Xia; Qingguo Wang; Peilin Jia; Bing Wang; William Pao; Zhongming Zhao
Journal:  Hum Mutat       Date:  2012-04-19       Impact factor: 4.878

10.  Initiative for standardization of the format of the next-generation sequencing (NGS) results.

Authors:  Veronika Pipan; Tanja Kunej
Journal:  Discoveries (Craiova)       Date:  2015-05-19
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