Registro completo de metadatos
| Campo DC | Valor | Lengua/Idioma |
|---|---|---|
| dc.provenance | INTA | - |
| dc.contributor | Gonzalez, Sergio Alberto | - |
| dc.contributor | Clavijo, Bernardo | - |
| dc.contributor | Rivarola, Maximo Lisandro | - |
| dc.contributor | Moreno, Patricio | - |
| dc.contributor | Fernández, Paula | - |
| dc.contributor | Dopazo, Joaquín | - |
| dc.contributor | Paniego, Norma Beatriz | - |
| dc.creator | Gonzalez, Sergio Alberto | - |
| dc.creator | Clavijo, Bernardo | - |
| dc.creator | Rivarola, Maximo Lisandro | - |
| dc.creator | Moreno, Patricio | - |
| dc.creator | Fernández, Paula | - |
| dc.creator | Dopazo, Joaquín | - |
| dc.creator | Paniego, Norma Beatriz | - |
| dc.date | 2017-06-28T15:35:40Z | - |
| dc.date | 2017-06-28T15:35:40Z | - |
| dc.date | 2017-02-22 | - |
| dc.date.accessioned | 2019-04-29T16:25:20Z | - |
| dc.date.available | 2019-04-29T16:25:20Z | - |
| dc.date.issued | 2017-06-28T15:35:40Z | - |
| dc.date.issued | 2017-06-28T15:35:40Z | - |
| dc.date.issued | 2017-02-22 | - |
| dc.identifier | http://hdl.handle.net/20.500.12123/502 | - |
| dc.identifier | https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1494-2 | - |
| dc.identifier.uri | http://rodna.bn.gov.ar:8080/jspui/handle/bnmm/312918 | - |
| dc.description | Background: In the last years, applications based on massively parallelized RNA sequencing (RNA-seq) have become valuable approaches for studying non-model species, e.g., without a fully sequenced genome. RNA-seq is a useful tool for detecting novel transcripts and genetic variations and for evaluating differential gene expression by digital measurements. The large and complex datasets resulting from functional genomic experiments represent a challenge in data processing, management, and analysis. This problem is especially significant for small research groups working with non-model species. Results: We developed a web-based application, called ATGC transcriptomics, with a flexible and adaptable interface that allows users to work with new generation sequencing (NGS) transcriptomic analysis results using an ontology-driven database. This new application simplifies data exploration, visualization, and integration for a better comprehension of the results. Conclusions: ATGC transcriptomics provides access to non-expert computer users and small research groups to a scalable storage option and simple data integration, including database administration and management. The software is freely available under the terms of GNU public license at http://atgcinta.sourceforge.net. | - |
| dc.description | Inst. de Biotecnología | - |
| dc.description | Fil: Gonzalez, Sergio Alberto. INTA. Instituto de Biotecnología; Argentina | - |
| dc.description | Fil: Clavijo, Bernardo. Norwich Research Park. Earlham Institute; Reino Unido | - |
| dc.description | Fil: Rivarola, Maximo Lisandro. INTA. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.description | Fil: Moreno, Patricio. Universidad de Buenos Aires. Facultad de Ingeniería. Instituto de Ingeniería Biomédica; Argentina | - |
| dc.description | Fil: Fernández, Paula. INTA. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Universidad Nacional de San Martín. Escuela de Ciencia y Tecnología; Argentina | - |
| dc.description | Fil: Dopazo, Joaquín Centro de Investigación Príncipe Felipe. Computational Genomics Department; España | - |
| dc.description | Fil: Paniego, Norma Beatriz. INTA. Instituto de Biotecnología; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina | - |
| dc.format | application/pdf | - |
| dc.language | eng | - |
| dc.rights | info:eu-repo/semantics/openAccess | - |
| dc.source | BMC bioinformatics 18 (121) : 1-9. (2017) | - |
| dc.source | reponame:INTA Digital (INTA) | - |
| dc.source | instname:Instituto Nacional de Tecnología Agropecuaria | - |
| dc.source | instacron:INTA | - |
| dc.source.uri | http://hdl.handle.net/20.500.12123/502 | - |
| dc.source.uri | https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1494-2 | - |
| dc.source.uri | http://hdl.handle.net/20.500.12123/502 | - |
| dc.source.uri | https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-017-1494-2 | - |
| dc.subject | Programas de ordenador | - |
| dc.subject | World Wide Web | - |
| dc.subject | Secuencia de ARN | - |
| dc.title | ATGC transcriptomics : a web-based application to integrate, explore and analyze de novo transcriptomic data | - |
| dc.type | info:eu-repo/semantics/article | - |
| dc.type | info:eu-repo/semantics/publishedVersion | - |
| dc.type | info:ar-repo/semantics/articulo | - |
| Aparece en las colecciones: | INTA | |
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