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A user-friendly analysis software tool for high-throughput data. Chipster contains over 350 analysis tools for next generation sequencing (NGS), microarray, proteomics and sequence data. Users can save and share automatic analysis workflows, and visualize data interactively using a built-in genome browser and many other visualizations.

Specifications

Software type:
Package
Interface:
Graphical user interface
Restrictions to use:
None
Operating system:
Unix/Linux, Mac OS
Programming languages:
Java
Computer skills:
Medium
Version:
Chipster version 3.4
Stability:
Stable
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Documentation & support

Links

Credits

Institution(s)

CSC – IT Center for Science, Keilaranta 14, Keilaniemi, Espoo, Finland; Finnish Red Cross Blood Service, Kivihaantie 7, Helsinki, Finland; Department of Pathology, VU University Medical Center, Amsterdam, The Netherlands; Department of Pathology, Haartman Institute and HUSLAB, University of Helsinki and Helsinki University Central Hospital, Finland; FIMM Technology Centre, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Finland; Futurice, Vattuniemenranta 2, Helsinki, Finland

Publications

  • (Kallio et al., 2011) Chipster: user-friendly analysis software for microarray and other high-throughput data. BMC genomics.
    PMID: 21999641

Classification

Literature

  • (Pepke et al., 2009) Computation for ChIP-seq and RNA-seq studies. Nature methods.
    PMID: 19844228
  • (Kim et al., 2011) A short survey of computational analysis methods in analysing ChIP-seq data. Human genomics.
    PMID: 21296745
  • (Bardet et al., 2012) A computational pipeline for comparative ChIP-seq analyses. Nature protocols.
    PMID: 22179591
  • (Bailey et al., 2013) Practical guidelines for the comprehensive analysis of ChIP-seq data. PLoS computational biology.
    PMID: 24244136
  • (Taslim et al., 2012) Analyzing ChIP-seq data: preprocessing, normalization, differential identification, and binding pattern characterization. Methods in molecular biology.
    PMID: 22130887

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