High-throughput functional annotation and data mining with the Blast2GO suite
| Autor: | Shivashankar H. Nagaraj, Joaquín Dopazo, Ana Conesa, Javier Terol, Stefan Götz, Manuel Talon, María José Nueda, Juan M. García-Gómez, Tim D. Williams, Montserrat Robles |
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| Rok vydání: | 2008 |
| Předmět: |
Vocabulary
060102 Bioinformatics media_common.quotation_subject high-throughput functional annotation Genomics Biology Bioinformatics Annotation Sequence Analysis Protein Controlled vocabulary Databases Genetic Genetics Computer Graphics Protein sequences Profiling (information science) Animals Blast2GO media_common Expressed Sequence Tags 060408 Genomics Information retrieval Computational Biology Sequence Analysis DNA data mining DNA bioinformatics Visualization ComputingMethodologies_PATTERNRECOGNITION Genes Vocabulary Controlled functional genomics technologies Functional genomics Software Blast2GO suite |
| Zdroj: | Nucleic Acids Research NUCLEIC ACIDS RESEARCH r-CIPF. Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF) instname r-CIPF: Repositorio Institucional Producción Científica del Centro de Investigación Principe Felipe (CIPF) Centro de Investigación Principe Felipe (CIPF) |
| ISSN: | 2381-3652 0305-1048 |
| Popis: | 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 biologist-oriented 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) high-throughput 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. |
| Databáze: | OpenAIRE |
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