Sequedex
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Application data |
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| Created by | Joel Berendzen, Ben McMahon, Judith Cohn, Nick Hengartner, and Mira Dimitrijevic |
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| Biological application domain(s) | Metagenomics, phylogenetics, Genomics |
| Principal bioinformatics method(s) | Sequence analysis, Sequence annotation |
| Technology | Illumina HiSeq, Illumina Solexa, Illumina |
| Created at | Los Alamos National Lab |
| Maintained? | Yes |
| Input format(s) | FASTA, FASTQ |
| Output format(s) | Multiple hits per read, FASTA, FASTQ |
| Software features | Fast, protein fragments identified |
| Programming language(s) | Java, Python |
| Licence | Commercial, Freeware |
| Operating system(s) | Linux 64, Mac OS X |
Summary: Sequedex classifies short reads for phylogeny and function at high speed
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Description
Sequedex is a signature-based method to classify the function and phylogeny of reads as short as 30 bp. For typical metagenomics applications, it works at ~6Gbp/hr/core, some 250,000 times faster than BLASTX against the NR database.
Links
References
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