HTSeq—a Python framework to work with high-throughput sequencing data

Motivation: A large choice of tools exists for many standard tasks in the analysis of high-throughput sequencing (HTS) data. However, once a project deviates from standard workflows, custom scripts are needed. Results: We present HTSeq, a Python library to facilitate the rapid development of such sc...

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Detalles Bibliográficos
Autores principales: Anders, Simon, Pyl, Paul Theodor, Huber, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2015
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287950/
https://www.ncbi.nlm.nih.gov/pubmed/25260700
http://dx.doi.org/10.1093/bioinformatics/btu638

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4287950/
https://www.ncbi.nlm.nih.gov/pubmed/25260700
http://dx.doi.org/10.1093/bioinformatics/btu638

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