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ToTem: a tool for variant calling pipeline optimization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F65269705%3A_____%2F18%3A00068775" target="_blank" >RIV/65269705:_____/18:00068775 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14740/18:00101855 RIV/61989592:15310/18:73588794

  • Result on the web

    <a href="https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2227-x" target="_blank" >https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-018-2227-x</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1186/s12859-018-2227-x" target="_blank" >10.1186/s12859-018-2227-x</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    ToTem: a tool for variant calling pipeline optimization

  • Original language description

    Background: High-throughput bioinformatics analyses of next generation sequencing (NGS) data often require challenging pipeline optimization. The key problem is choosing appropriate tools and selecting the best parameters for optimal precision and recall. Results: Here we introduce ToTem, a tool for automated pipeline optimization. ToTem is a stand-alone web application with a comprehensive graphical user interface (GUI). ToTem is written in Java and PHP with an underlying connection to a MySQL database. Its primary role is to automatically generate, execute and benchmark different variant calling pipeline settings. Our tool allows an analysis to be started from any level of the process and with the possibility of plugging almost any tool or code. To prevent an over-fitting of pipeline parameters, ToTem ensures the reproducibility of these by using cross validation techniques that penalize the final precision, recall and F-measure. The results are interpreted as interactive graphs and tables allowing an optimal pipeline to be selected, based on the user&apos;s priorities. Using ToTem, we were able to optimize somatic variant calling from ultra-deep targeted gene sequencing (TGS) data and germline variant detection in whole genome sequencing (WGS) data. Conclusions: ToTem is a tool for automated pipeline optimization which is freely available as a web application at https://totern.software

  • 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

    10609 - Biochemical research methods

Result continuities

  • Project

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

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2018

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    BMC Bioinformatics

  • ISSN

    1471-2105

  • e-ISSN

  • Volume of the periodical

    19

  • Issue of the periodical within the volume

    JUN 2018

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    9

  • Pages from-to

    243

  • UT code for WoS article

    000436517200004

  • EID of the result in the Scopus database

    2-s2.0-85049074706