QTLTableMiner++

G. Singh; A. Kuzniar

doi:10.5281/zenodo.1193639

QTLTableMiner++

G. Singh, A. Kuzniar

Plant Breeding

Research output: Non-textual form › Software

Abstract

Quantitative trait locus (QTL) mapping experiments are commonly described in scientific literature but the results presented in tables are difficult to re-use. QTLTableMiner++ (QTM) enables to make these results available in machine-readable formats.

Original language	English
Publisher	Wageningen University & Research
Media of output	Online
DOIs	https://doi.org/10.5281/zenodo.1193639
Publication status	Published - 7 Mar 2018

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10.5281/zenodo.1193639Licence: Apache

1 Article

QTLTableMiner++: Semantic mining of QTL tables in scientific articles
Singh, G., Kuzniar, A., van Mulligen, E. M., Gavai, A., Bachem, C. W., Visser, R. G. F. & Finkers, R., 25 May 2018, In: BMC Bioinformatics. 19, 183.
Research output: Contribution to journal › Article › Academic › peer-review

Open Access
7 Citations (Scopus)

Quantitative Trait Loci in Solanaceae species
Kuzniar, A. (Creator) & Singh, G. (Creator), Wageningen University & Research, 8 Apr 2018
DOI: 10.5281/zenodo.1215044
Dataset

Cite this

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title = "QTLTableMiner++",

abstract = "Quantitative trait locus (QTL) mapping experiments are commonly described in scientific literature but the results presented in tables are difficult to re-use. QTLTableMiner++ (QTM) enables to make these results available in machine-readable formats.",

author = "G. Singh and A. Kuzniar",

year = "2018",

month = mar,

day = "7",

doi = "10.5281/zenodo.1193639",

language = "English",

publisher = "Wageningen University & Research",

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AU - Kuzniar, A.

PY - 2018/3/7

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N2 - Quantitative trait locus (QTL) mapping experiments are commonly described in scientific literature but the results presented in tables are difficult to re-use. QTLTableMiner++ (QTM) enables to make these results available in machine-readable formats.

AB - Quantitative trait locus (QTL) mapping experiments are commonly described in scientific literature but the results presented in tables are difficult to re-use. QTLTableMiner++ (QTM) enables to make these results available in machine-readable formats.

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DO - 10.5281/zenodo.1193639

M3 - Software

PB - Wageningen University & Research

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QTLTableMiner++

Abstract

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Research output

QTLTableMiner++: Semantic mining of QTL tables in scientific articles

Datasets

Quantitative Trait Loci in Solanaceae species

Cite this