Literature DB >> 33619257

Uniform genomic data analysis in the NCI Genomic Data Commons.

Zhenyu Zhang1, Kyle Hernandez1, Jeremiah Savage1,2, Shenglai Li1, Dan Miller1,3, Stuti Agrawal1,4, Francisco Ortuno1,5, Louis M Staudt6, Allison Heath3, Robert L Grossman7.   

Abstract

The goal of the National Cancer Institute's (NCI's) Genomic Data Commons (GDC) is to provide the cancer research community with a data repository of uniformly processed genomic and associated clinical data that enables data sharing and collaborative analysis in the support of precision medicine. The initial GDC dataset include genomic, epigenomic, proteomic, clinical and other data from the NCI TCGA and TARGET programs. Data production for the GDC started in June, 2015 using an OpenStack-based private cloud. By June of 2016, the GDC had analyzed more than 50,000 raw sequencing data inputs, as well as multiple other data types. Using the latest human genome reference build GRCh38, the GDC generated a variety of data types from aligned reads to somatic mutations, gene expression, miRNA expression, DNA methylation status, and copy number variation. In this paper, we describe the pipelines and workflows used to process and harmonize the data in the GDC. The generated data, as well as the original input files from TCGA and TARGET, are available for download and exploratory analysis at the GDC Data Portal and Legacy Archive ( https://gdc.cancer.gov/ ).

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Year:  2021        PMID: 33619257      PMCID: PMC7900240          DOI: 10.1038/s41467-021-21254-9

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  40 in total

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Authors:  Ali Mortazavi; Brian A Williams; Kenneth McCue; Lorian Schaeffer; Barbara Wold
Journal:  Nat Methods       Date:  2008-05-30       Impact factor: 28.547

2.  Unified representation of genetic variants.

Authors:  Adrian Tan; Gonçalo R Abecasis; Hyun Min Kang
Journal:  Bioinformatics       Date:  2015-02-19       Impact factor: 6.937

3.  Using population admixture to help complete maps of the human genome.

Authors:  Giulio Genovese; Robert E Handsaker; Heng Li; Nicolas Altemose; Amelia M Lindgren; Kimberly Chambert; Bogdan Pasaniuc; Alkes L Price; David Reich; Cynthia C Morton; Martin R Pollak; James G Wilson; Steven A McCarroll
Journal:  Nat Genet       Date:  2013-02-24       Impact factor: 38.330

4.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

5.  Pan-cancer subtyping in a 2D-map shows substructures that are driven by specific combinations of molecular characteristics.

Authors:  Erdogan Taskesen; Sjoerd M H Huisman; Ahmed Mahfouz; Jesse H Krijthe; Jeroen de Ridder; Anja van de Stolpe; Erik van den Akker; Wim Verheagh; Marcel J T Reinders
Journal:  Sci Rep       Date:  2016-04-25       Impact factor: 4.379

6.  MuSE: accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling from sequencing data.

Authors:  Yu Fan; Liu Xi; Daniel S T Hughes; Jianjun Zhang; Jianhua Zhang; P Andrew Futreal; David A Wheeler; Wenyi Wang
Journal:  Genome Biol       Date:  2016-08-24       Impact factor: 13.583

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Authors:  Lei Cai; Wei Yuan; Zhou Zhang; Lin He; Kuo-Chen Chou
Journal:  Sci Rep       Date:  2016-11-22       Impact factor: 4.379

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Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

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Authors:  Tyler S Alioto; Ivo Buchhalter; Sophia Derdak; Barbara Hutter; Matthew D Eldridge; Eivind Hovig; Lawrence E Heisler; Timothy A Beck; Jared T Simpson; Laurie Tonon; Anne-Sophie Sertier; Ann-Marie Patch; Natalie Jäger; Philip Ginsbach; Ruben Drews; Nagarajan Paramasivam; Rolf Kabbe; Sasithorn Chotewutmontri; Nicolle Diessl; Christopher Previti; Sabine Schmidt; Benedikt Brors; Lars Feuerbach; Michael Heinold; Susanne Gröbner; Andrey Korshunov; Patrick S Tarpey; Adam P Butler; Jonathan Hinton; David Jones; Andrew Menzies; Keiran Raine; Rebecca Shepherd; Lucy Stebbings; Jon W Teague; Paolo Ribeca; Francesc Castro Giner; Sergi Beltran; Emanuele Raineri; Marc Dabad; Simon C Heath; Marta Gut; Robert E Denroche; Nicholas J Harding; Takafumi N Yamaguchi; Akihiro Fujimoto; Hidewaki Nakagawa; Víctor Quesada; Rafael Valdés-Mas; Sigve Nakken; Daniel Vodák; Lawrence Bower; Andrew G Lynch; Charlotte L Anderson; Nicola Waddell; John V Pearson; Sean M Grimmond; Myron Peto; Paul Spellman; Minghui He; Cyriac Kandoth; Semin Lee; John Zhang; Louis Létourneau; Singer Ma; Sahil Seth; David Torrents; Liu Xi; David A Wheeler; Carlos López-Otín; Elías Campo; Peter J Campbell; Paul C Boutros; Xose S Puente; Daniela S Gerhard; Stefan M Pfister; John D McPherson; Thomas J Hudson; Matthias Schlesner; Peter Lichter; Roland Eils; David T W Jones; Ivo G Gut
Journal:  Nat Commun       Date:  2015-12-09       Impact factor: 14.919

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  12 in total

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Journal:  Comput Struct Biotechnol J       Date:  2022-06-08       Impact factor: 6.155

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5.  Landscape of KRASG12C, Associated Genomic Alterations, and Interrelation With Immuno-Oncology Biomarkers in KRAS-Mutated Cancers.

Authors:  Mohamed E Salem; Sherif M El-Refai; Wei Sha; Alberto Puccini; Axel Grothey; Thomas J George; Jimmy J Hwang; Bert O'Neil; Alexander S Barrett; Kunal C Kadakia; Laura W Musselwhite; Derek Raghavan; Eric Van Cutsem; Josep Tabernero; Jeanne Tie
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7.  TP53 Mutation Infers a Poor Prognosis and Is Correlated to Immunocytes Infiltration in Breast Cancer.

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8.  Specific human endogenous retroviruses predict metastatic potential in uveal melanoma.

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9.  Detection of repeat expansions in large next generation DNA and RNA sequencing data without alignment.

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10.  Immunogenomic determinants of tumor microenvironment correlate with superior survival in high-risk neuroblastoma.

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