TISSUES 2.0: an integrative web resource on mammalian tissue expression
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TISSUES 2.0 : an integrative web resource on mammalian tissue expression. / Palasca, Oana; Santos, Alberto; Stolte, Christian; Gorodkin, Jan; Jensen, Lars Juhl.
I: Database: The Journal of Biological Databases and Curation, Bind 2018, Nr. 1, 2018, s. 1-12.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - TISSUES 2.0
T2 - an integrative web resource on mammalian tissue expression
AU - Palasca, Oana
AU - Santos, Alberto
AU - Stolte, Christian
AU - Gorodkin, Jan
AU - Jensen, Lars Juhl
PY - 2018
Y1 - 2018
N2 - Abstract: Physiological and molecular similarities between organisms make it possible to translate findings from simpler experimental systems—model organisms—into more complex ones, such as human. This translation facilitates the understanding of biological processes under normal or disease conditions. Researchers aiming to identify the similarities and differences between organisms at the molecular level need resources collecting multi-organism tissue expression data. We have developed a database of gene–tissue associations in human, mouse, rat and pig by integrating multiple sources of evidence: transcriptomics covering all four species and proteomics (human only), manually curated and mined from the scientific literature. Through a scoring scheme, these associations are made comparable across all sources of evidence and across organisms. Furthermore, the scoring produces a confidence score assigned to each of the associations. The TISSUES database (version 2.0) is publicly accessible through a user-friendly web interface and as part of the STRING app for Cytoscape. In addition, we analyzed the agreement between datasets, across and within organisms, and identified that the agreement is mainly affected by the quality of the datasets rather than by the technologies used or organisms compared.Database URL: http://tissues.jensenlab.org/
AB - Abstract: Physiological and molecular similarities between organisms make it possible to translate findings from simpler experimental systems—model organisms—into more complex ones, such as human. This translation facilitates the understanding of biological processes under normal or disease conditions. Researchers aiming to identify the similarities and differences between organisms at the molecular level need resources collecting multi-organism tissue expression data. We have developed a database of gene–tissue associations in human, mouse, rat and pig by integrating multiple sources of evidence: transcriptomics covering all four species and proteomics (human only), manually curated and mined from the scientific literature. Through a scoring scheme, these associations are made comparable across all sources of evidence and across organisms. Furthermore, the scoring produces a confidence score assigned to each of the associations. The TISSUES database (version 2.0) is publicly accessible through a user-friendly web interface and as part of the STRING app for Cytoscape. In addition, we analyzed the agreement between datasets, across and within organisms, and identified that the agreement is mainly affected by the quality of the datasets rather than by the technologies used or organisms compared.Database URL: http://tissues.jensenlab.org/
U2 - 10.1093/database/bay003
DO - 10.1093/database/bay003
M3 - Journal article
C2 - 29617745
VL - 2018
SP - 1
EP - 12
JO - Database : the journal of biological databases and curation
JF - Database : the journal of biological databases and curation
SN - 1758-0463
IS - 1
ER -
ID: 197768308