Determining the genes expressed for every tissue and cell type in the body has important consequences for basic cell biology, generating hypotheses for gene function and studying transcriptional changes in disease. Gene expression signatures have been used to make clinical predictions in a number of cancers and to elucidate basic gene expression biology.
Gathers information about available whole-genome sequencing (WGS) data from The International Cancer Genome Consortium’s (ICGC). PCAWG contains a set of matched whole genome and transcriptome sequencing for over 1,100 samples from more than 20 different cancer. It intends to help in detecting novel cancer-associated genes, investigating about the impact of coding and non-coding mutations on the transcriptome and binding genetic alterations with related molecular transformations.
Provides a resource that allows investigations of the relationship among genetic variation, gene expression, and other molecular phenotypes in multiple human tissues. GTEx gives a unified view of genetic effects on gene expression across a broad range of tissue types, most of which have not been studied for expression quantitative trait locus (eQTLs) previously. This dataset was constructed on the basis of a collection of 900 donors.
Helps biologists to find the flanking insertion sites (FSTs) that interrupt the genes in which they are interested. The FLAGdb information system was developed with the aim of using whole plant genomes as physical references in order to gather and merge available genomic data from in silico or experimental approaches. Combining original data with the output of experts and graphical displays that differ from classical plant genome browsers, FLAGdb presents a powerful complementary tool for exploring plant genomes and exploiting structural and functional resources, without the need for computer programming knowledge.