PitViper: a software for comparative meta-analysis and annotation of functional screening data.
Paul-Arthur MeslinLois M KellySalima BenbarcheSéverine LecourtKevin H LinJustine C RutterChristopher F BassilRaphael ItzyksonKris C WoodAlexandre PuissantCamille LobryPublished in: NAR genomics and bioinformatics (2024)
Recent advancements in shRNA and Cas protein technologies have enabled functional screening methods targeting genes or non-coding regions using single or pooled shRNA and sgRNA. CRISPR-based systems have also been developed for modulating DNA accessibility, resulting in CRISPR-mediated interference (CRISPRi) or activation (CRISPRa) of targeted genes or genomic DNA elements. However, there is still a lack of software tools for integrating diverse array of functional genomics screening outputs that could offer a cohesive framework for comprehensive data integration. Here, we developed PitViper, a flexible and interactive open-source software designed to fill this gap, providing reliable results for the type of elements being screened. It is an end-to-end automated and reproducible bioinformatics pipeline integrating gold-standard methods for functional screening analysis. Our sensitivity analyses demonstrate that PitViper is a useful tool for identifying potential super-enhancer liabilities in a leukemia cell line through genome-wide CRISPRi-based screening. It offers a robust, flexible, and interactive solution for integrating data analysis and reanalysis from functional screening methods, making it a valuable resource for researchers in the field.
Keyphrases
- genome wide
- data analysis
- systematic review
- crispr cas
- dna methylation
- machine learning
- acute myeloid leukemia
- genome editing
- randomized controlled trial
- big data
- signaling pathway
- single cell
- binding protein
- risk assessment
- circulating tumor
- copy number
- drug delivery
- double blind
- protein protein
- rna seq
- study protocol