MapSplice
Application data |
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Created by | Kai Wang, Zheng Zeng, Jan F. Prins; Jinze Liu |
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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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