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A computational investigation of kinetoplastid trans-splicing
Trans-splicing is an unusual process in which two separate RNA strands are spliced together to yield a mature mRNA. We present a novel computational approach which has an overall accuracy of 82% and can predict 92% of known trans-splicing sites. We have applied our method to chromosomes 1 and 3 of L...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1297651/ https://www.ncbi.nlm.nih.gov/pubmed/16277750 http://dx.doi.org/10.1186/gb-2005-6-11-r95 |
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author | Gopal, Shuba Awadalla, Saria Gaasterland, Terry Cross, George AM |
author_facet | Gopal, Shuba Awadalla, Saria Gaasterland, Terry Cross, George AM |
author_sort | Gopal, Shuba |
collection | PubMed |
description | Trans-splicing is an unusual process in which two separate RNA strands are spliced together to yield a mature mRNA. We present a novel computational approach which has an overall accuracy of 82% and can predict 92% of known trans-splicing sites. We have applied our method to chromosomes 1 and 3 of Leishmania major, with high-confidence predictions for 85% and 88% of annotated genes respectively. We suggest some extensions of our method to other systems. |
format | Text |
id | pubmed-1297651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-12976512005-12-01 A computational investigation of kinetoplastid trans-splicing Gopal, Shuba Awadalla, Saria Gaasterland, Terry Cross, George AM Genome Biol Method Trans-splicing is an unusual process in which two separate RNA strands are spliced together to yield a mature mRNA. We present a novel computational approach which has an overall accuracy of 82% and can predict 92% of known trans-splicing sites. We have applied our method to chromosomes 1 and 3 of Leishmania major, with high-confidence predictions for 85% and 88% of annotated genes respectively. We suggest some extensions of our method to other systems. BioMed Central 2005 2005-10-17 /pmc/articles/PMC1297651/ /pubmed/16277750 http://dx.doi.org/10.1186/gb-2005-6-11-r95 Text en Copyright © 2005 Gopal et al.; licensee BioMed Central Ltd. |
spellingShingle | Method Gopal, Shuba Awadalla, Saria Gaasterland, Terry Cross, George AM A computational investigation of kinetoplastid trans-splicing |
title | A computational investigation of kinetoplastid trans-splicing |
title_full | A computational investigation of kinetoplastid trans-splicing |
title_fullStr | A computational investigation of kinetoplastid trans-splicing |
title_full_unstemmed | A computational investigation of kinetoplastid trans-splicing |
title_short | A computational investigation of kinetoplastid trans-splicing |
title_sort | computational investigation of kinetoplastid trans-splicing |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1297651/ https://www.ncbi.nlm.nih.gov/pubmed/16277750 http://dx.doi.org/10.1186/gb-2005-6-11-r95 |
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