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- Publisher Website: 10.1504/IJDMB.2013.053193
- Scopus: eid_2-s2.0-84876270660
- PMID: 23777172
- WOS: WOS:000317486500003
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Article: Alns: A new searchable and filterable sequence alignment format
Title | Alns: A new searchable and filterable sequence alignment format |
---|---|
Authors | |
Keywords | Sequence alignment format Alns Bioinformatics |
Issue Date | 2013 |
Citation | International Journal of Data Mining and Bioinformatics, 2013, v. 7, n. 2, p. 135-145 How to Cite? |
Abstract | Nucleotides and amino acids are basic building units of RNA, DNA and protein. Although intensive studies on understanding how changes in these building blocks affect the phenotypes of these biopolymers are ever increasing, many popular alignment formats are generated by pair-wise comparison tools such as the Basic Local Alignment Search Tool (BLAST). These alignments are user-friendly to researchers but are not convenient for searching, filtering and storage, in particular when there are thousands of alignments generated from highly conserved sequences. Here, we introduce a new alignment format, alns, to facilitate rapid and convenient association of genetic changes and similarity to other sources of information such as phenotypes, disease state, time, geography and taxonomy via simple spreadsheet functions. The format shall assist biologists from a wide range of disciplines in knowledge discovery. Copyright © 2013 Inderscience Enterprises Ltd. |
Persistent Identifier | http://hdl.handle.net/10722/222140 |
ISSN | 2023 Impact Factor: 0.2 2023 SCImago Journal Rankings: 0.173 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Leung, Ross K K | - |
dc.contributor.author | Tsui, Stephen K W | - |
dc.date.accessioned | 2015-12-21T06:48:50Z | - |
dc.date.available | 2015-12-21T06:48:50Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | International Journal of Data Mining and Bioinformatics, 2013, v. 7, n. 2, p. 135-145 | - |
dc.identifier.issn | 1748-5673 | - |
dc.identifier.uri | http://hdl.handle.net/10722/222140 | - |
dc.description.abstract | Nucleotides and amino acids are basic building units of RNA, DNA and protein. Although intensive studies on understanding how changes in these building blocks affect the phenotypes of these biopolymers are ever increasing, many popular alignment formats are generated by pair-wise comparison tools such as the Basic Local Alignment Search Tool (BLAST). These alignments are user-friendly to researchers but are not convenient for searching, filtering and storage, in particular when there are thousands of alignments generated from highly conserved sequences. Here, we introduce a new alignment format, alns, to facilitate rapid and convenient association of genetic changes and similarity to other sources of information such as phenotypes, disease state, time, geography and taxonomy via simple spreadsheet functions. The format shall assist biologists from a wide range of disciplines in knowledge discovery. Copyright © 2013 Inderscience Enterprises Ltd. | - |
dc.language | eng | - |
dc.relation.ispartof | International Journal of Data Mining and Bioinformatics | - |
dc.subject | Sequence alignment format | - |
dc.subject | Alns | - |
dc.subject | Bioinformatics | - |
dc.title | Alns: A new searchable and filterable sequence alignment format | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1504/IJDMB.2013.053193 | - |
dc.identifier.pmid | 23777172 | - |
dc.identifier.scopus | eid_2-s2.0-84876270660 | - |
dc.identifier.volume | 7 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 135 | - |
dc.identifier.epage | 145 | - |
dc.identifier.eissn | 1748-5681 | - |
dc.identifier.isi | WOS:000317486500003 | - |
dc.identifier.issnl | 1748-5673 | - |