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CloudAligner

Achieves higher performance, covers most primary features, is more accurate, and has a user-friendly interface. CloudAligner was also designed to be able to deal with long sequences. The performance gain of CloudAligner over Cloud-based counterparts (35 to 80%) mainly comes from the omission of the reduce phase. In comparison to local-based approaches, the performance gain of CloudAligner is from the partition and parallel processing of the huge reference genome as well as the reads.

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CloudAligner forum

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CloudAligner classification

CloudAligner specifications

Software type:
Framework/Library
Restrictions to use:
None
Programming languages:
Java
License:
GNU General Public License version 2.0
Stability:
Stable
Maintained:
Yes
Interface:
Command line interface
Operating system:
Unix/Linux
Parallelization:
MapReduce
Computer skills:
Advanced
High performance computing:
Yes

CloudAligner distribution

versioning

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No versioning.

CloudAligner support

Maintainer

  • Tung Nguyen <>

Credits

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Publications

Institution(s)

Computer Science Department, Wayne State University, US

Link to literature

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