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Scdrake: a reproducible and scalable pipeline for scRNA-seq data analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378050%3A_____%2F23%3A00574419" target="_blank" >RIV/68378050:_____/23:00574419 - isvavai.cz</a>

  • Result on the web

    <a href="https://academic.oup.com/bioinformaticsadvances/article/3/1/vbad089/7220500?login=true" target="_blank" >https://academic.oup.com/bioinformaticsadvances/article/3/1/vbad089/7220500?login=true</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/bioadv/vbad089" target="_blank" >10.1093/bioadv/vbad089</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Scdrake: a reproducible and scalable pipeline for scRNA-seq data analysis

  • Original language description

    Motivation: While the workflow for primary analysis of single-cell RNA-seq (scRNA-seq) data is well established, the secondary analysis of the feature-barcode matrix is usually done by custom scripts. There is no fully automated pipeline in the R statistical environment, which would follow the current best programming practices and requirements for reproducibility. Results: We have developed scdrake, a fully automated workflow for secondary analysis of scRNA-seq data, which is fully implemented in the R language and built within the drake framework. The pipeline includes quality control, cell and gene filtering, normalization, detection of highly variable genes, dimensionality reduction, clustering, cell type annotation, detection of marker genes, differential expression analysis and integration of multiple samples. The pipeline is reproducible and scalable, has an efficient execution, provides easy extendability and access to intermediate results and outputs rich HTML reports. Scdrake is distributed as a Docker image, which provides a straightforward setup and enhances reproducibility.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10608 - Biochemistry and molecular biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Bioinformatics Advances

  • ISSN

    2635-0041

  • e-ISSN

    2635-0041

  • Volume of the periodical

    3

  • Issue of the periodical within the volume

    1

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    3

  • Pages from-to

    vbad089

  • UT code for WoS article

    001124263600123

  • EID of the result in the Scopus database

    2-s2.0-85166430412