Ontology highlight
ABSTRACT:
SUBMITTER: Lorenzi C
PROVIDER: S-EPMC8573998 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature

Lorenzi Claudio C Barriere Sylvain S Arnold Katharina K Luco Reini F RF Oldfield Andrew J AJ Ritchie William W
Genome biology 20211108 1
Accurate quantification and detection of intron retention levels require specialized software. Building on our previous software, we create a suite of tools called IRFinder-S, to analyze and explore intron retention events in multiple samples. Specifically, IRFinder-S allows a better identification of true intron retention events using a convolutional neural network, allows the sharing of intron retention results between labs, integrates a dynamic database to explore and contrast available sampl ...[more]