QTLTableMiner⁺⁺: semantic mining of QTL tables in scientific articles.

ABSTRACT:

Background

A quantitative trait locus (QTL) is a genomic region that correlates with a phenotype. Most of the experimental information about QTL mapping studies is described in tables of scientific publications. Traditional text mining techniques aim to extract information from unstructured text rather than from tables. We present QTLTableMiner⁺⁺ (QTM), a table mining tool that extracts and semantically annotates QTL information buried in (heterogeneous) tables of plant science literature. QTM is a command line tool written in the Java programming language. This tool takes scientific articles from the Europe PMC repository as input, extracts QTL tables using keyword matching and ontology-based concept identification. The tables are further normalized using rules derived

SUBMITTER: Singh G 

PROVIDER: S-EPMC5970438 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature