Unknown

Dataset Information

TISSUES 2.0: an integrative web resource on mammalian tissue expression.


ABSTRACT:

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 comp

SUBMITTER: Palasca O 

PROVIDER: S-EPMC5808782 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature