TY  - JOUR
AU  - Pajić, Vesna S.
AU  - Pavlović-Lažetić, Gordana
AU  - Beljanski, Milos V.
AU  - Brandt, Bernd W.
AU  - Pajić, Miloš
PY  - 2013
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/3280
AB  - To associate phenotypic characteristics of an organism to molecules encoded by its genome, there is a need for well-structured genotype and phenotype data. We use a novel method for extracting data on phenotype and genotype characteristics of microorganisms from text. As a resource, we use an encyclopedia of microorganisms, which holds phenotypic and genotypic data and create a structured, flexible data resource, which can be exported to a range of database formats, containing genotype and phenotype data for 2412 species and 873 genera of microbes. This data source has great potential as a resource for future biological research on genotype-phenotype associations. In this paper, we focus on describing the structure and content of the resulting database and on evaluating the method used for extracting the data. We conclude that the resulting database can be used as a reliable complementary resource for research into genotype-phenotype association.
PB  - Inderscience Enterprises Ltd, Geneva
T2  - International Journal of Data Mining and Bioinformatics
T1  - Towards a database for genotype-phenotype association research: mining data from encyclopaedia
EP  - 213
IS  - 2
SP  - 196
VL  - 7
DO  - 10.1504/IJDMB.2013.053196
ER  - 

@article{
author = "Pajić, Vesna S. and Pavlović-Lažetić, Gordana and Beljanski, Milos V. and Brandt, Bernd W. and Pajić, Miloš",
year = "2013",
abstract = "To associate phenotypic characteristics of an organism to molecules encoded by its genome, there is a need for well-structured genotype and phenotype data. We use a novel method for extracting data on phenotype and genotype characteristics of microorganisms from text. As a resource, we use an encyclopedia of microorganisms, which holds phenotypic and genotypic data and create a structured, flexible data resource, which can be exported to a range of database formats, containing genotype and phenotype data for 2412 species and 873 genera of microbes. This data source has great potential as a resource for future biological research on genotype-phenotype associations. In this paper, we focus on describing the structure and content of the resulting database and on evaluating the method used for extracting the data. We conclude that the resulting database can be used as a reliable complementary resource for research into genotype-phenotype association.",
publisher = "Inderscience Enterprises Ltd, Geneva",
journal = "International Journal of Data Mining and Bioinformatics",
title = "Towards a database for genotype-phenotype association research: mining data from encyclopaedia",
pages = "213-196",
number = "2",
volume = "7",
doi = "10.1504/IJDMB.2013.053196"
}

Pajić, V. S., Pavlović-Lažetić, G., Beljanski, M. V., Brandt, B. W.,& Pajić, M.. (2013). Towards a database for genotype-phenotype association research: mining data from encyclopaedia. in International Journal of Data Mining and Bioinformatics
Inderscience Enterprises Ltd, Geneva., 7(2), 196-213.
https://doi.org/10.1504/IJDMB.2013.053196

Pajić VS, Pavlović-Lažetić G, Beljanski MV, Brandt BW, Pajić M. Towards a database for genotype-phenotype association research: mining data from encyclopaedia. in International Journal of Data Mining and Bioinformatics. 2013;7(2):196-213.
doi:10.1504/IJDMB.2013.053196 .

Pajić, Vesna S., Pavlović-Lažetić, Gordana, Beljanski, Milos V., Brandt, Bernd W., Pajić, Miloš, "Towards a database for genotype-phenotype association research: mining data from encyclopaedia" in International Journal of Data Mining and Bioinformatics, 7, no. 2 (2013):196-213,
https://doi.org/10.1504/IJDMB.2013.053196 . .