Get paper from

journal cover

HTSeq - A Python framework to work with high-throughput sequencing data

bioRxiv

Feb 20, 2014

Simon AndersWolfgang W Huber

Get paper from

Abstract

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 work flows, custom scripts are needed. Results: We present HTSeq, a Python library to facilitate the rapid developm...read more

Mentioned in this Paper

Genome
RNA
Small Molecule Libraries
High-Throughput RNA Sequencing
Cell Count
Structure
Genes
Nucleic Acid Sequencing
Protein Expression
Analysis
44
3
Paper Details
References
    • References
    • Citations

      References currently unavailable

      We're still populating references for this paper, please check back later.
    • References
    • Citations

      No citations available

      This paper may not have been cited yet.
  • HTSeq - A Python framework to work with high-throughput sequencing data

    bioRxiv

    Feb 20, 2014

    Simon AndersWolfgang W Huber

    PMID: 990002824

    DOI: 10.1101/002824

    Abstract

    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 work flows, custom scripts are needed. Results: We present HTSeq, a Python library to facilitate the rapid developm...read more

    Mentioned in this Paper

    Genome
    RNA
    Small Molecule Libraries
    High-Throughput RNA Sequencing
    Cell Count
    44
    3
    Paper Details
    References
    • References
    • Citations

      References currently unavailable

      We're still populating references for this paper, please check back later.
    • References
    • Citations

      No citations available

      This paper may not have been cited yet.
  • Get paper from

    © 2019 Meta ULC. All rights reserved.
    /papers/htseq---a-python-framework-to-work-with-high-throu/990002824