Sentence examples for mining of mutations from inspiring English sources

Our results clearly show that text mining of mutations from MEDLINE achieves low recall.

Text mining of mutations in the scientific literature has been addressed by several tools, including MutationMiner, MarkerInfoFinder, EMU (Extractor of Mutations), MutationFinder, tmVar, and SETH.

Text mining of mutations in the scientific literature has been addressed by several tools, including MutationMiner [ 3], MarkerInfoFinder [ 17], EMU (Extractor of Mutations) [ 6], MutationFinder [ 4], tmVar [ 9] and SETH [ 18].

Our analysis shows that the recall achieved by the text mining tool in the recovery of mutations catalogued in the databases is very low.

Thus, there have been several text mining systems developed to target extraction of mutations and other genetic variation from the literature.

Allele mining identifies superior alleles from related genotypes that may have been the effect of mutations in the process of evolution.

As such, there have been a number of systems developed to target automatic extraction of mutations and other genetic variation from the literature using text mining tools.

They discovered that the mutations happened in two stages — two separate groups of mutations.

Hundreds of mutations can cause varying degrees of muscular dystrophy.

Identification of mutations.

In this work, we instead perform an extrinsic evaluation of a mutation extraction tool to test the applicability of text mining, specifically for the curation of mutation databases.