Open AccessNeedlestack: an ultra-sensitive variant caller for multi-sample next generation sequencing data
Author(s) -
Tiffany M. Delhomme,
Patrice Hodonou Avogbe,
Aurélie AG Gabriel,
Nicolas Alcala,
Noémie Leblay,
Catherine Voegele,
Maxime Vallée,
Priscilia Chopard,
Amélie Chabrier,
Behnoush AbediArdekani,
Valérie Gaborieau,
Ivana Holcátová,
Vladimír Janout,
Lenka Foretová,
Saša Milosavljević,
Давид Заридзе,
Anush Mukeriya,
Élisabeth Brambilla,
Paul Brennan,
Ghislaine Scélo,
Lynnette Fernández-Cuesta,
Graham Byrnes,
Florence Le CalvezKelm,
James McKay,
Matthieu Foll
Publication year - 2020
Publication title -
nar genomics and bioinformatics
Language(s) - English
Resource type - Journals
ISSN - 2631-9268
DOI - 10.1093/nargab/lqaa021
Subject(s) - dna sequencing , computational biology , source code , deep sequencing , genome , computer science , biology , mutation rate , mutation , sample (material) , genetics , dna , gene , chemistry , chromatography , operating system
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