Uncovering hidden duplicated content in public transcriptomics data.
Database (Oxford)
; 2013: bat010, 2013.
Article
en En
| MEDLINE
| ID: mdl-23487185
ABSTRACT
As part of the development of the database Bgee (a dataBase for Gene Expression Evolution), we annotate and analyse expression data from different types and different sources, notably Affymetrix data from GEO and ArrayExpress, and RNA-Seq data from SRA. During our quality control procedure, we have identified duplicated content in GEO and ArrayExpress, affecting â¼14% of our data fully or partially duplicated experiments from independent data submissions, Affymetrix chips reused in several experiments, or reused within an experiment. We present here the procedure that we have established to filter such duplicates from Affymetrix data, and our procedure to identify future potential duplicates in RNA-Seq data.
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1
Base de datos:
MEDLINE
Asunto principal:
Estadística como Asunto
/
Perfilación de la Expresión Génica
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Bases de Datos Genéticas
Idioma:
En
Revista:
Database (Oxford)
Año:
2013
Tipo del documento:
Article