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
Already have an account? Sign in to review this tool.
No review has been posted.
0 issues
Open an issue about this tool
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