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Please use this identifier to cite or link to this item:
http://krishi.icar.gov.in/jspui/handle/123456789/9036
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Baek JH | en_US |
dc.contributor.author | Tae Ho Lee | en_US |
dc.contributor.author | Milind Ratnaparkhe | en_US |
dc.date.accessioned | 2018-11-01T11:35:57Z | - |
dc.date.available | 2018-11-01T11:35:57Z | - |
dc.date.issued | 2016-07-12 | - |
dc.identifier.citation | 1 | en_US |
dc.identifier.issn | Not Available | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/9036 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Information on multiple synteny between plants and/or within a plant is key information to understand genome evolution. In addition, visualization of multiple synteny is helpful in interpreting evolution. So far, some web applications have been developed to determine and visualize multiple homology regions at once. However, the applications are not fully convenient for biologists because some of them do not include the function of synteny determination but visualize the multiple synteny plots by allowing users to upload their synteny data by determining the synteny based only on BLAST similarity information, with some algorithms not designed for synteny determination. Here, we introduce a web application that determines and visualizes multiple synteny from two types of files, simplified browser extensible data and protein sequence file by MCScanX algorithm, which have been used in many synteny studies. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Libertas Academic | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Gene synteny | en_US |
dc.title | MultiSyn: A Webtool for Multiple Synteny Detection and Visualization of User's Sequence of Interest Compared to Public Plant Species | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Evolutionary Bioinformatics | en_US |
dc.publication.volumeno | 12 | en_US |
dc.publication.pagenumber | 193 | en_US |
dc.publication.divisionUnit | Crop Improvement | en_US |
dc.publication.sourceUrl | Not Available | en_US |
dc.publication.authorAffiliation | ICAR-Indian Institute of Soybean Research | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.naasrating | 7.02 | en_US |
Appears in Collections: | CS-DSBR-Publication |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
MultiSyn.pdf | 1.73 MB | Adobe PDF | View/Open |
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