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
0 user reviews
Write a review about this tool
Sign up for free to join and share with our community.
Already have an account? Sign in to review this tool.
Already have an account? Sign in to review this tool.
No review has been posted.
0 issues
Open an issue about this tool
Sign up for free to join and share with our community.
Already have an account? Sign in to open an issue.
Already have an account? Sign in to open an issue.
No open issue.
Documentation & support
Links
- Documentation: http://chipster.csc.fi/manual/
- Mailinglist: https://lists.sourceforge.net/lists/listinfo/chipster-users
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