cjBitSeq specifications

Information


Unique identifier OMICS_23407
Name cjBitSeq
Software type Framework/Library
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages C++, R, Shell (Bash)
Computer skills Advanced
Stability Stable
Maintained Yes

Download


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Versioning


No version available

Maintainers


  • person_outline Magnus Rattray
  • person_outline Panagiotis Papastamoulis

Additional information


https://github.com/mqbssppe/cjBitSeq/wiki

Publication for cjBitSeq

cjBitSeq citation

library_books

A Bayesian model selection approach for identifying differentially expressed transcripts from RNA sequencing data

2017
PMCID: 5763373
PMID: 29353941
DOI: 10.1111/rssc.12213

[…] ll replicates of a given condition. Fig. (b) displays the mean absolute error between the logarithm of true transcript expression and the corresponding estimates according to each method. We see that cjBitSeq, BitSeq stage 1 and RSEM exhibit similar behaviour, and all perform significantly better than Cufflinks. Although there is no consistent ordering between the first three methods, averaging ac […]

cjBitSeq institution(s)
University of Manchester, Faculty of Life Science, Manchester, UK; University of Manchester, Faculty of Life Science, Manchester, UK
cjBitSeq funding source(s)
Supported by MRC award MR/M02010X/1, BBSRC award BB/J009415/1 and EU FP7 project RADIANT (grant 305626).

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