LSTrAP-Cloud: A User-Friendly Cloud Computing Pipeline to Infer Coexpression Networks.

ABSTRACT: As genomes become more and more available, gene function prediction presents itself as one of the major hurdles in our quest to extract meaningful information on the biological processes genes participate in. In order to facilitate gene function prediction, we show how our user-friendly pipeline, the Large-Scale Transcriptomic Analysis Pipeline in Cloud (LSTrAP-Cloud), can be useful in helping biologists make a shortlist of genes involved in a biological process that they might be interested in, by using a single gene of interest as bait. The LSTrAP-Cloud is based on Google Colaboratory, and provides user-friendly tools that process quality-control RNA sequencing data streamed from the European Nucleotide Archive. The LSTRAP-Cloud outputs a gene coexpression network that can be used to ide

SUBMITTER: Tan QW 

PROVIDER: S-EPMC7230309 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature