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http://krishi.icar.gov.in/jspui/handle/123456789/73736| Title: | Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features. |
| Other Titles: | Not Available |
| Authors: | Prabina Kumar Meher Tanmaya Kumar Sahu A R Rao S D Wahi |
| ICAR Data Use Licennce: | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf |
| Author's Affiliated institute: | ICAR::Indian Agricultural Statistics Research Institute |
| Published/ Complete Date: | 2016-06-01 |
| Project Code: | Not Available |
| Keywords: | Hsplice Hybrid approach Machine learning Sequence encoding |
| Publisher: | Not Available |
| Citation: | Meher, P.K., Sahu, T.K., Rao, A.R. et al. Identification of donor splice sites using support vector machine: a computational approach based on positional, compositional and dependency features. Algorithms Mol Biol 11, 16 (2016). https://doi.org/10.1186/s13015-016-0078-4 |
| Series/Report no.: | Not Available; |
| Abstract/Description: | Identification of splice sites is essential for the annotation of genes. Though existing approaches have achieved an acceptable level of accuracy, still there is a need for further improvement. Besides, most of the approaches are species-specific and hence it is required to develop approaches compatible across species. |
| Description: | Not Available |
| ISSN: | Not Available |
| Type(s) of content: | Research Paper |
| Sponsors: | Not Available |
| Language: | English |
| Name of Journal: | Algorithms for Molecular Biology |
| NAAS Rating: | 7.41 |
| Impact Factor: | 1.41 |
| Volume No.: | 11 |
| Page Number: | 16 |
| Name of the Division/Regional Station: | Not Available |
| Source, DOI or any other URL: | 10.1186/s13015-016-0078-4 |
| URI: | http://krishi.icar.gov.in/jspui/handle/123456789/73736 |
| Appears in Collections: | AEdu-IASRI-Publication AEdu-IASRI-Publication |
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