MapSplice

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Application data

Created by Kai Wang, Zheng Zeng, Jan F. Prins; Jinze Liu
Biological application domain(s) RNA-Seq alignment
Principal bioinformatics method(s) Mapping
Maintained? Yes
Input format(s) FASTA, FASTQ
Output format(s) SAM, BED
Programming language(s) C++, Python
Operating system(s) Linux

Summary: We introduce a second generation splice detection algorithm, MapSplice, whose focus is high sensitivity and specificity in the detection of splices as well as CPU and memory efficiency. MapSplice can be applied to both short (<75 bp) and long reads (75 bp). MapSplice is not dependent on splice site features or intron length, consequently it can detect novel canonical as well as non-canonical splices. MapSplice leverages the quality and diversity of read alignments of a given splice to increase accuracy.

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Description

Links


References

  1. . 2010. Nucleic Acids Research


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