BigBWA
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Application data |
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| Created by | Abuin JM, Pichel JC, Pena TF, Amigo J |
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| Biological application domain(s) | Genomics, Resequencing, Exome capture, Whole genome resequencing, Sequencing, Whole genome resequencing, Exome, Exome analysis, Exome and whole genome variant detection |
| Principal bioinformatics method(s) | Read mapping, Mapping, Mapping, Sequence alignment |
| Technology | Illumina, ABI SOLiD, SOLiD, Ion Torrent, Ion proton |
| Created at | Universidade de Santiago de Compostela |
| Maintained? | Yes |
| Input format(s) | FASTQ, FASTA, BAM |
| Output format(s) | SAM/BAM |
| Software version | 0.1 |
| Software features | Gapped alignment, paired-end mapping |
| Programming language(s) | Java |
| Software libraries | BWA |
| Licence | GPLv3 |
| Operating system(s) | Linux 64 |
| Contact: | josemanuel.abuin@usc.es |
Summary: Tool to run the Burrows-Wheeler Aligner-BWA on a Hadoop cluster. It supports the algorithms BWA-MEM, BWA-ALN, and BWA-SW, working with paired and single reads. It implies an important reduction in the computational time when running in a Hadoop cluster, adding scalability and fault-tolerancy.
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Description
Approaching the Burrows-Wheeler Aligner to Big Data Technologies
BigBWA is a tool to run the Burrows-Wheeler Aligner (BWA) on a Hadoop cluster. The current version of BigBWA (v0.1, march 2015) supports the following BWA algorithms:
- BWA-MEM
- BWA-ALN
- BWA-SW
All of them work with paired and single reads.
Links
References
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