High-throughput functional annotation and data mining with the Blast2GO suite
Functional genomics technologies have been widely adopted in the biological research of both model and non-model species. An efficient functional annotation of DNA or protein sequences is a major requirement for the successful application of these approaches as functional information on gene p...
| Autores principales: | , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
| Publicado: |
Oxford University Press
2020
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| Materias: | |
| Acceso en línea: | http://hdl.handle.net/20.500.11939/6426 https://academic.oup.com/nar/article/36/10/3420/2410320 |
| _version_ | 1855032424726003712 |
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| author | Gotz, Stefan García-Gómez, Juan M. Terol, Javier Williams, Tim D. Nagaraj, Shivashankar H. Nueda, María J. Robles, Montserrat Talón, Manuel Dopazo, Joaquín Conesa, Ana |
| author_browse | Conesa, Ana Dopazo, Joaquín García-Gómez, Juan M. Gotz, Stefan Nagaraj, Shivashankar H. Nueda, María J. Robles, Montserrat Talón, Manuel Terol, Javier Williams, Tim D. |
| author_facet | Gotz, Stefan García-Gómez, Juan M. Terol, Javier Williams, Tim D. Nagaraj, Shivashankar H. Nueda, María J. Robles, Montserrat Talón, Manuel Dopazo, Joaquín Conesa, Ana |
| author_sort | Gotz, Stefan |
| collection | ReDivia |
| description | Functional genomics technologies have been widely
adopted in the biological research of both model
and non-model species. An efficient functional
annotation of DNA or protein sequences is a major
requirement for the successful application of these
approaches as functional information on gene
products is often the key to the interpretation of
experimental results. Therefore, there is an increasing
need for bioinformatics resources which are able
to cope with large amount of sequence data,
produce valuable annotation results and are easily
accessible to laboratories where functional genomics
projects are being undertaken. We present the
Blast2GO suite as an integrated and biologistoriented
solution for the high-throughput and automatic
functional annotation of DNA or protein
sequences based on the Gene Ontology vocabulary.
The most outstanding Blast2GO features are: (i) the
combination of various annotation strategies and
tools controlling type and intensity of annotation,
(ii) the numerous graphical features such as the
interactive GO-graph visualization for gene-set function
profiling or descriptive charts, (iii) the general
sequence management features and (iv) highthroughput
capabilities. We used the Blast2GO
framework to carry out a detailed analysis of annotation
behaviour through homology transfer and its
impact in functional genomics research. Our aim is
to offer biologists useful information to take into
account when addressing the task of functionally
characterizing their sequence data. |
| format | article |
| id | ReDivia6426 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Oxford University Press |
| publisherStr | Oxford University Press |
| record_format | dspace |
| spelling | ReDivia64262025-04-25T14:47:03Z High-throughput functional annotation and data mining with the Blast2GO suite Gotz, Stefan García-Gómez, Juan M. Terol, Javier Williams, Tim D. Nagaraj, Shivashankar H. Nueda, María J. Robles, Montserrat Talón, Manuel Dopazo, Joaquín Conesa, Ana U10 Mathematical and statistical methods Functional genomics technologies have been widely adopted in the biological research of both model and non-model species. An efficient functional annotation of DNA or protein sequences is a major requirement for the successful application of these approaches as functional information on gene products is often the key to the interpretation of experimental results. Therefore, there is an increasing need for bioinformatics resources which are able to cope with large amount of sequence data, produce valuable annotation results and are easily accessible to laboratories where functional genomics projects are being undertaken. We present the Blast2GO suite as an integrated and biologistoriented solution for the high-throughput and automatic functional annotation of DNA or protein sequences based on the Gene Ontology vocabulary. The most outstanding Blast2GO features are: (i) the combination of various annotation strategies and tools controlling type and intensity of annotation, (ii) the numerous graphical features such as the interactive GO-graph visualization for gene-set function profiling or descriptive charts, (iii) the general sequence management features and (iv) highthroughput capabilities. We used the Blast2GO framework to carry out a detailed analysis of annotation behaviour through homology transfer and its impact in functional genomics research. Our aim is to offer biologists useful information to take into account when addressing the task of functionally characterizing their sequence data. 2020-05-07T14:45:25Z 2020-05-07T14:45:25Z 2008 article publishedVersion Götz, S., García-Gómez, J. M., Terol, J., Williams, T. D., Nagaraj, S. H., Nueda, M. J., ... & Conesa, A. (2008). High-throughput functional annotation and data mining with the Blast2GO suite. Nucleic acids research, 36(10), 3420-3435. 0305-1048 http://hdl.handle.net/20.500.11939/6426 10.1093/nar/gkn176 https://academic.oup.com/nar/article/36/10/3420/2410320 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Oxford University Press electronico |
| spellingShingle | U10 Mathematical and statistical methods Gotz, Stefan García-Gómez, Juan M. Terol, Javier Williams, Tim D. Nagaraj, Shivashankar H. Nueda, María J. Robles, Montserrat Talón, Manuel Dopazo, Joaquín Conesa, Ana High-throughput functional annotation and data mining with the Blast2GO suite |
| title | High-throughput functional annotation and data mining with the Blast2GO suite |
| title_full | High-throughput functional annotation and data mining with the Blast2GO suite |
| title_fullStr | High-throughput functional annotation and data mining with the Blast2GO suite |
| title_full_unstemmed | High-throughput functional annotation and data mining with the Blast2GO suite |
| title_short | High-throughput functional annotation and data mining with the Blast2GO suite |
| title_sort | high throughput functional annotation and data mining with the blast2go suite |
| topic | U10 Mathematical and statistical methods |
| url | http://hdl.handle.net/20.500.11939/6426 https://academic.oup.com/nar/article/36/10/3420/2410320 |
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