Mr.Vc v2: An updated version of database with increased data of transcriptome and experimental validated interactions
Mr.Vc is a database of curated transcriptome data and annotated information. The main objective is to facilitate the accessibility and reusability of the rapidly growing omics data and relevant annotation. To achieve these goals, we performed manual curation on the transcriptome data and organized t...
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Veröffentlicht in: | Frontiers in microbiology 2022-11, Vol.13, p.1047259-1047259 |
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Sprache: | eng |
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Zusammenfassung: | Mr.Vc is a database of curated
transcriptome data and annotated information. The main objective is to facilitate the accessibility and reusability of the rapidly growing
omics data and relevant annotation. To achieve these goals, we performed manual curation on the transcriptome data and organized the datasets in an experiment-centric manner. We collected unknown operons annotated through text-mining analysis that would provide more clues about how
modulates gene regulation. Meanwhile, to understand the relationship between genes or experiments, we performed gene co-expression analysis and experiment-experiment correlation analysis. In additional, functional module named "Interactions" which dedicates to collecting experimentally validated interactions about
from public databases, MEDLINE documents and literature in life science journals. To date, Mr.Vc v2, which is significantly increased from the previous version, contains 107 microarray experiments, 106 RNA-seq experiments, and 3 Tn-seq projects, covering 56,839 entries of DEGs (Differentially Expressed Genes) from transcriptomes and 7,463 related genes from Tn-seq, respectively. and a total of 270,129 gene co-expression entries and 11,990 entries of experiment-experiment correlation was obtained, in total 1,316 entries of interactions were collected, including 496 protein-chemical signaling molecule interactions, 472 protein-protein interactions, 306 TF (Transcription Factor)-gene interactions and 42
-virus interactions, most of which obtained from 402 literature through text-mining analysis. To make the information easier to access, Mr.Vc v2 is equipped with a search widget, enabling users to query what they are interested in. Mr.Vc v2 is freely available at http://mrvcv2.biownmc.info. |
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ISSN: | 1664-302X 1664-302X |
DOI: | 10.3389/fmicb.2022.1047259 |