Tximeta: Reference sequence checksums for provenance identification in RNA-seq.

ABSTRACT: Correct annotation metadata is critical for reproducible and accurate RNA-seq analysis. When files are shared publicly or among collaborators with incorrect or missing annotation metadata, it becomes difficult or impossible to reproduce bioinformatic analyses from raw data. It also makes it more difficult to locate the transcriptomic features, such as transcripts or genes, in their proper genomic context, which is necessary for overlapping expression data with other datasets. We provide a solution in the form of an R/Bioconductor package tximeta that performs numerous annotation and metadata gathering tasks automatically on behalf of users during the import of transcript quantification files. The correct reference transcriptome is identified via a hashed checksum stored in the quantificati

SUBMITTER: Love MI 

PROVIDER: S-EPMC7059966 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature