A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Expression Atlas: gene and protein expression across multiple studies and organisms
Tekijät: rene Papatheodorou, Nuno A. Fonseca, Maria Keays, Y. Amy Tang, Elisabet Barrera, Wojciech Bazant, Melissa Burke, Anja Fullgrabe, Alfonso Munoz-Pomer Fuentes,Nancy George, Laura Huerta, Satu Koskinen, Suhaib Mohammed, Matthew Geniza, Justin Preece, Pankaj Jaiswal, Andrew F. Jarnuczak, Wolfgang Huber, Oliver Stegle, Juan Antonio Vizcaino, Alvis Brazma, Robert Petryszak
Kustantaja: OXFORD UNIV PRESS
Julkaisuvuosi: 2018
Journal: Nucleic Acids Research
Tietokannassa oleva lehden nimi: NUCLEIC ACIDS RESEARCH
Lehden akronyymi: NUCLEIC ACIDS RES
Vuosikerta: 46
Numero: D1
Aloitussivu: D246
Lopetussivu: D251
Sivujen määrä: 6
ISSN: 0305-1048
DOI: https://doi.org/10.1093/nar/gkx1158
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/30057370
Expression Atlas (http://www.ebi.ac.uk/gxa) is an added value database that provides information about gene and protein expression in different species and contexts, such as tissue, developmental stage, disease or cell type. The available public and controlled access data sets from different sources are curated and re-analysed using standardized, open source pipelines and made available for queries, download and visualization. As of August 2017, Expression Atlas holds data from 3,126 studies across 33 different species, including 731 from plants. Data from large-scale RNA sequencing studies including Blueprint, PCAWG, ENCODE, GTEx and HipSci can be visualized next to each other. In Expression Atlas, users can query genes or gene-sets of interest and explore their expression across or within species, tissues, developmental stages in a constitutive or differential context, representing the effects of diseases, conditions or experimental interventions. All processed data matrices are available for direct download in tab-delimited format or as R-data. In addition to the web interface, data sets can now be searched and downloaded through the Expression Atlas R package. Novel features and visualizations include the on-the-fly analysis of gene set overlaps and the option to view gene co-expression in experiments investigating constitutive gene expression across tissues or other conditions.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
