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MuWU: Mutant-seq library analysis and annotation.
Stöcker, Tyll; Altrogge, Lena; Marcon, Caroline; Win, Yan Naing; Hochholdinger, Frank; Schoof, Heiko.
Afiliación
  • Stöcker T; Crop Bioinformatics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115 Bonn, Germany.
  • Altrogge L; Crop Bioinformatics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115 Bonn, Germany.
  • Marcon C; Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115 Bonn, Germany.
  • Win YN; Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115 Bonn, Germany.
  • Hochholdinger F; Crop Functional Genomics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115 Bonn, Germany.
  • Schoof H; Crop Bioinformatics, Institute of Crop Science and Resource Conservation (INRES), University of Bonn, 53115 Bonn, Germany.
Bioinformatics ; 38(3): 837-838, 2022 01 12.
Article en En | MEDLINE | ID: mdl-34586393
ABSTRACT
MOTIVATION Insertional mutagenesis allows for the creation of loss-of-function mutations on a genome-wide scale. In theory, every gene can be 'knocked out' via the insertion of an additional DNA sequence. Resources of sequence-indexed mutants of plant and animal model organisms are instrumental for functional genomics studies. Such repositories significantly speed up the acquisition of interesting genotypes and allow for the validation of hypotheses regarding phenotypic consequences in reverse genetics. To create such resources, comprehensive sequencing of flanking sequence tags using protocols such as Mutant-seq requires various downstream computational tasks, and these need to be performed in an efficient and reproducible manner.

RESULTS:

Here, we present MuWU, an automated Mutant-seq workflow utility initially created for the identification of Mutator insertion sites of the BonnMu resource, representing a reverse genetics mutant collection for functional genetics in maize (Zea mays). MuWU functions as a fast, one-stop downstream processing pipeline of Mutant-seq reads. It takes care of all complex bioinformatic tasks, such as identifying tagged genes and differentiating between germinal and somatic mutations/insertions. Furthermore, MuWU automatically assigns insertions to the corresponding mutated seed stocks. We discuss the implementation and how parameters can easily be adapted to use MuWU for other species/transposable elements. AVAILABILITY AND IMPLEMENTATION MuWU is a Snakemake-based workflow and freely available at https//github.com/tgstoecker/MuWU. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Elementos Transponibles de ADN / Genómica Límite: Animals Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Alemania

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Elementos Transponibles de ADN / Genómica Límite: Animals Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Alemania