Project description:Microbiome collection date model is a Named Entity Recognition (NER) model that identifies and annotates the collection date of microbiome samples in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with collection date metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications
Project description:We report the immediate effects of estrogen signaling on the transcriptome of breast cancer cells using Global Run-On and sequencing (GRO-seq). We found that estrogen signaling directly regulates a strikingly large fraction of the transcriptome in a rapid, robust, and unexpectedly transient manner. In addition to protein-coding genes, estrogen regulates the distribution and activity of all three RNA polymerases, and virtually every class of non-coding RNA that has been described to date. This data submission covers >95% of mapped reads comprising nearly all transcript classes described. Reads mapping to intergenic and enhancer transcripts were removed from this data submission and will be reported separately (manuscripts in preparation). Bed files are tab-separated text files in which columns represent: chrom, chromStart (5' End of the read), chromEnd (chromStart+1), name (unused always 'n'), score (the number of mismatches), and strand. Note that because of the inclusion of reads mapping to the rRNA chromosome, bed files cannot be uploaded to the UCSC genome browser directly. Instead, use the wiggle files (coming soon!) for this purpose.