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FANTOM5 transcriptome catalog of cellular states based on Semantic MediaWiki

The Functional Annotation of the Mammalian Genome project (FANTOM5) mapped transcription start sites (TSSs) and measured their activities in a diverse range of biological samples. The FANTOM5 project generated a large data set; including detailed information about the profiled samples, the uncovered...

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Detalles Bibliográficos
Autores principales: Abugessaisa, Imad, Shimoji, Hisashi, Sahin, Serkan, Kondo, Atsushi, Harshbarger, Jayson, Lizio, Marina, Hayashizaki, Yoshihide, Carninci, Piero, Forrest, Alistair, Kasukawa, Takeya, Kawaji, Hideya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4940433/
https://www.ncbi.nlm.nih.gov/pubmed/27402679
http://dx.doi.org/10.1093/database/baw105
Descripción
Sumario:The Functional Annotation of the Mammalian Genome project (FANTOM5) mapped transcription start sites (TSSs) and measured their activities in a diverse range of biological samples. The FANTOM5 project generated a large data set; including detailed information about the profiled samples, the uncovered TSSs at high base-pair resolution on the genome, their transcriptional initiation activities, and further information of transcriptional regulation. Data sets to explore transcriptome in individual cellular states encoded in the mammalian genomes have been enriched by a series of additional analysis, based on the raw experimental data, along with the progress of the research activities. To make the heterogeneous data set accessible and useful for investigators, we developed a web-based database called Semantic catalog of Samples, Transcription initiation And Regulators (SSTAR). SSTAR utilizes the open source wiki software MediaWiki along with the Semantic MediaWiki (SMW) extension, which provides flexibility to model, store, and display a series of data sets produced during the course of the FANTOM5 project. Our use of SMW demonstrates the utility of the framework for dissemination of large-scale analysis results. SSTAR is a case study in handling biological data generated from a large-scale research project in terms of maintenance and growth alongside research activities. Database URL: http://fantom.gsc.riken.jp/5/sstar/