Ontology highlight
ABSTRACT:
SUBMITTER: Love MI
PROVIDER: S-EPMC7059966 | biostudies-literature | 2020 Feb
REPOSITORIES: biostudies-literature
Love Michael I MI Soneson Charlotte C Hickey Peter F PF Johnson Lisa K LK Pierce N Tessa NT Shepherd Lori L Morgan Martin M Patro Rob R
PLoS computational biology 20200225 2
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 soluti ...[more]