Exploring genomic alteration in pediatric cancer using ProteinPaint

The pediatric data set consists of 27,188 validated somatic coding lesions acquired at diagnosis or relapse from 17 subtypes of pediatric cancer, 252 pathogenic or loss-of-function germline lesions detected in >1,000 pediatric patients with cancer of 21 subtypes6 and RNA sequencing (RNA-seq) data...

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Published in:Nature genetics Vol. 48; no. 1; pp. 4 - 6
Main Authors: Zhou, Xin, Edmonson, Michael N, Wilkinson, Mark R, Patel, Aman, Wu, Gang, Liu, Yu, Li, Yongjin, Zhang, Zhaojie, Rusch, Michael C, Parker, Matthew, Becksfort, Jared, Downing, James R, Zhang, Jinghui
Format: Journal Article
Language:English
Published: New York Nature Publishing Group US 01.01.2016
Nature Publishing Group
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ISSN:1061-4036, 1546-1718, 1546-1718
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Abstract The pediatric data set consists of 27,188 validated somatic coding lesions acquired at diagnosis or relapse from 17 subtypes of pediatric cancer, 252 pathogenic or loss-of-function germline lesions detected in >1,000 pediatric patients with cancer of 21 subtypes6 and RNA sequencing (RNA-seq) data for 928 pediatric tumors from 36 subtypes (Supplementary Note). Data in mutation annotation format (MAF) generated by studies such as The Cancer Genome Atlas (TCGA) or individual research laboratories can be uploaded to ProteinPaint to enable data visualization and cross-study comparison for the broad genetic research community (Supplementary Fig. 8 and Supplementary Tutorial).
AbstractList The pediatric data set consists of 27,188 validated somatic coding lesions acquired at diagnosis or relapse from 17 subtypes of pediatric cancer, 252 pathogenic or loss-of-function germline lesions detected in >1,000 pediatric patients with cancer of 21 subtypes6 and RNA sequencing (RNA-seq) data for 928 pediatric tumors from 36 subtypes (Supplementary Note). Data in mutation annotation format (MAF) generated by studies such as The Cancer Genome Atlas (TCGA) or individual research laboratories can be uploaded to ProteinPaint to enable data visualization and cross-study comparison for the broad genetic research community (Supplementary Fig. 8 and Supplementary Tutorial).
Audience Academic
Author Edmonson, Michael N
Wilkinson, Mark R
Liu, Yu
Downing, James R
Zhou, Xin
Patel, Aman
Rusch, Michael C
Li, Yongjin
Parker, Matthew
Zhang, Jinghui
Zhang, Zhaojie
Becksfort, Jared
Wu, Gang
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  surname: Patel
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  organization: Department of Computational Biology, St. Jude Children's Research Hospital
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  orcidid: 0000-0002-1678-5864
  surname: Wu
  fullname: Wu, Gang
  organization: Department of Computational Biology, St. Jude Children's Research Hospital
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  organization: Department of Computational Biology, St. Jude Children's Research Hospital
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  organization: Department of Computational Biology, St. Jude Children's Research Hospital
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  organization: Department of Computational Biology, St. Jude Children's Research Hospital
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  fullname: Becksfort, Jared
  organization: Department of Computational Biology, St. Jude Children's Research Hospital
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  fullname: Zhang, Jinghui
  email: jinghui.zhang@stjude.org
  organization: Department of Computational Biology, St. Jude Children's Research Hospital
BackLink https://www.ncbi.nlm.nih.gov/pubmed/26711108$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright Springer Nature America, Inc. 2015
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Snippet The pediatric data set consists of 27,188 validated somatic coding lesions acquired at diagnosis or relapse from 17 subtypes of pediatric cancer, 252...
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SubjectTerms 45
45/23
631/114/794
692/699/67
Agriculture
Animal Genetics and Genomics
Biomedicine
Cancer
Cancer Research
Cancer treatment
Child
Children & youth
correspondence
Databases, Genetic
Gene expression
Gene Expression Regulation, Neoplastic
Gene Function
Genome, Human
Genomes
Human Genetics
Humans
Kinases
Lesions
Medical research
Mutation
Neoplasms - genetics
Pediatrics
Proteins
Proteins - genetics
Software
Studies
Tumors
User-Computer Interface
Visualization
Title Exploring genomic alteration in pediatric cancer using ProteinPaint
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