Difference between revisions of "Nesoni"
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{{Bioinformatics application | {{Bioinformatics application | ||
| − | |sw summary=Nesoni is a high-throughput sequencing data analysis toolset, which the VBC has developed to cope with the flood of Illumina, 454, and SOLiD data now being produced. | + | |sw summary=Nesoni is a high-throughput sequencing data analysis toolset. |
| + | |bio domain=RNA-Seq alignment, SNP detection, Phylogenetics, | ||
| + | |bio method=Sequence alignment, | ||
| + | |bio tech=Illumina, 454, ABI SOLiD, | ||
| + | |created at=Victorian Bioinformatics Consortium | ||
| + | |maintained=Yes | ||
| + | |input format=SAM, FASTA, | ||
| + | |sw feature=largely for bacterial genomes | ||
| + | |language=Python, | ||
| + | }} | ||
| + | Nesoni is a high-throughput sequencing data analysis tool set, which the VBC has developed to cope with the flood of Illumina, 454, and SOLiD data now being produced. | ||
| − | Our work is largely with bacterial genomes, and the design | + | Our work is largely with bacterial genomes, and the design trade-offs in nesoni reflect this. |
| − | Nesoni focusses on analysing the alignment of reads to a reference genome. We use the SHRiMP read aligner, as it is able to detect small insertions and deletions in addition to SNPs. | + | Nesoni focusses on analysing the alignment of reads to a reference genome. We use the [[SHRiMP]] read aligner, as it is able to detect small insertions and deletions in addition to SNPs. |
| − | Nesoni can call a consensus of read alignments, taking care to indicate ambiguity. This can then be used in various ways: to determine the protein level changes resulting from SNPs and indels, to find differences between multiple strains, or to produce n-way comparison data suitable for phylogenetic analysis in SplitsTree4. | + | Nesoni can call a consensus of read alignments, taking care to indicate ambiguity. This can then be used in various ways: to determine the protein level changes resulting from SNPs and indels, to find differences between multiple strains, or to produce n-way comparison data suitable for phylogenetic analysis in [[SplitsTree4]]. |
Alternatively, the raw counts of bases at each position in the reference seen in two different sequenced strains can compared using Fisher's Exact Test. | Alternatively, the raw counts of bases at each position in the reference seen in two different sequenced strains can compared using Fisher's Exact Test. | ||
| − | + | {{Links}} | |
| − | + | {{References}} | |
| − | + | {{Link box}} | |
| − | |||
| − | }} | ||
Latest revision as of 16:07, 19 December 2015
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Application data |
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| Biological application domain(s) | RNA-Seq alignment, SNP detection, Phylogenetics |
|---|---|
| Principal bioinformatics method(s) | Sequence alignment |
| Technology | Illumina, 454, ABI SOLiD |
| Created at | Victorian Bioinformatics Consortium |
| Maintained? | Yes |
| Input format(s) | SAM, FASTA |
| Software features | largely for bacterial genomes |
| Programming language(s) | Python |
Summary: Nesoni is a high-throughput sequencing data analysis toolset.
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Nesoni is a high-throughput sequencing data analysis tool set, which the VBC has developed to cope with the flood of Illumina, 454, and SOLiD data now being produced.
Our work is largely with bacterial genomes, and the design trade-offs in nesoni reflect this.
Nesoni focusses on analysing the alignment of reads to a reference genome. We use the SHRiMP read aligner, as it is able to detect small insertions and deletions in addition to SNPs.
Nesoni can call a consensus of read alignments, taking care to indicate ambiguity. This can then be used in various ways: to determine the protein level changes resulting from SNPs and indels, to find differences between multiple strains, or to produce n-way comparison data suitable for phylogenetic analysis in SplitsTree4.
Alternatively, the raw counts of bases at each position in the reference seen in two different sequenced strains can compared using Fisher's Exact Test.
Links
References
none specified
To add a reference for Nesoni, enter the PubMed ID in the field below and click 'Add'.
Search for "Nesoni" in the SEQanswers forum / BioStar or:
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