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Although 97% of the regionsin the human genome do not encode proteins, they still have functions that cannot be ignored.
Recently, the Bioinformatics Center (CBI) of Peking University School of Life Sciences (CBI) , the Center for Biomedical Innovation and Innovation (BIOPIC), and the Beijing Future Gene Diagnosis Advanced Innovation Center (ICG) Gao Ge's research group have verified expression regulation mutations through multiple large-scale experiments The collection and integration of experimental data has constructed the human high-quality expression regulation-related non-coding mutation database REVA , and further evaluated the performance of 7 mainstream non-coding mutation prediction tools
Through systematic mining and integration of published literature, the author extracted and collected more than 11.
Figure 1: Overview of the structure of the REVA database and partial results of the tool evaluation
A.
Currently, the REVA database has been officially released online ( http://reva.
The REVA database will continue to be updated.
Related papers have been published online in the journal Genomics, Proteomics & Bioinformatics .
Original link: https://
Recommended translation for magazines ( Chinese ): https://mp.
