An expression-based variant impact phenotyping protocol to predict the impact of gene variants in cell lines.

Thornton, Alexis M; Tumu, Manoj; Brooks, Angela N

Thornton, Alexis M; Tumu, Manoj; Brooks, Angela N.

Afiliação

Thornton AM; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA; UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Tumu M; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA; UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA.
Brooks AN; Department of Biomolecular Engineering, University of California Santa Cruz, Santa Cruz, CA 95064, USA; UCSC Genomics Institute, University of California Santa Cruz, Santa Cruz, CA 95064, USA. Electronic address: anbrooks@ucsc.edu.

STAR Protoc ; 3(3): 101651, 2022 09 16.

Article em En | MEDLINE | ID: mdl-36092819

Assuntos

Biologia Computacional; Linhagem Celular; Biologia Computacional/métodos; Mutação

Palavras-chave

Bioinformatics; Cancer; Gene expression; Genetics; RNAseq

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Biologia Computacional Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: STAR Protoc Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google