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bollito: a flexible pipeline for comprehensive single-cell RNA-seq analyses

Luis García-Jimeno, Coral Fustero‐Torre, María José Jiménez‐Santos, Gonzalo Goméz-López, Tomás Di Domenico, Fátima Al‐Shahrour

2021Bioinformatics14 citationsDOI

Abstract

SUMMARY: bollito is an automated, flexible and parallelizable computational pipeline for the comprehensive analysis of single-cell RNA-seq data. Starting from FASTQ files or preprocessed expression matrices, bollito performs both basic and advanced tasks in single-cell analysis integrating >30 state-of-the-art tools. This includes quality control, read alignment, dimensionality reduction, clustering, cell-marker detection, differential expression, functional analysis, trajectory inference and RNA velocity. bollito is built using the Snakemake workflow management system, which easily connects each execution step and facilitates the reproducibility of results. bollito's modular design makes it easy to incorporate other packages into the pipeline enabling its expansion with new functionalities. AVAILABILITY AND IMPLEMENTATION: Source code is freely available at https://gitlab.com/bu_cnio/bollito under the MIT license. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Topics & Concepts

Computer sciencePipeline (software)WorkflowModular designSource codeMIT LicenseData miningBioconductorInferenceMac OSExpression (computer science)Cluster analysisSoftwareDatabaseProgramming languageArtificial intelligenceGeneBiochemistryChemistrySingle-cell and spatial transcriptomicsCell Image Analysis TechniquesAdvanced Proteomics Techniques and Applications
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