Your browser doesn't support javascript.
loading
Using MARRVEL v1.2 for Bioinformatics Analysis of Human Genes and Variant Pathogenicity.
Wang, Julia; Mao, Dongxue; Fazal, Fatima; Kim, Seon-Young; Yamamoto, Shinya; Bellen, Hugo; Liu, Zhandong.
Afiliação
  • Wang J; Program in Developmental Biology, Medical Scientist Training Program, Baylor College of Medicine, Houston, Texas.
  • Mao D; Department of Pediatrics-Neurology, Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.
  • Fazal F; Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.
  • Kim SY; Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Baylor College of Medicine, Houston, Texas.
  • Yamamoto S; Department of Molecular and Human Genetics, Baylor College of Medicine, Howard Hughes Medical Institute, Houston, Texas.
  • Bellen H; Department of Molecular and Human Genetics, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas.
  • Liu Z; Department of Neuroscience, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, Texas.
Curr Protoc Bioinformatics ; 67(1): e85, 2019 09.
Article em En | MEDLINE | ID: mdl-31524990
One of the greatest challenges in the bioinformatic analysis of human sequencing data is identifying which variants are pathogenic. Numerous databases and tools have been generated to address this difficulty. However, these many useful data and tools are broadly dispersed, requiring users to search for their variants of interest through human genetic databases, variant function prediction tools, and model organism databases. To solve this problem, we collected data and observed workflows of human geneticists, clinicians, and model organism researchers to carefully select and display valuable information that facilitates the evaluation of whether a variant is likely to be pathogenic. This program, Model organism Aggregated Resources for Rare Variant ExpLoration (MARRVEL) v1.2, allows users to collect relevant data from 27 public sources for further efficient bioinformatic analysis of the pathogenicity of human variants. © 2019 by John Wiley & Sons, Inc.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Curr Protoc Bioinformatics Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Curr Protoc Bioinformatics Ano de publicação: 2019 Tipo de documento: Article