@inproceedings{da204fb712fa42dfa6c1060d1023a218,
title = "Text Mining and Data Modeling of Karyotypes to aid in Drug Repurposing Efforts",
abstract = "Karyotyping, or visually examining and recording chromosomal abnormalities, is commonly used to diagnose and treat disease. Karyotypes are written in the International System for Human Cytogenetic Nomenclature (ISCN), a computationally non-readable language that precludes full analysis of these genomic data. In response, we developed a cytogenetic platform that transfers the ISCN karyotypes to a machine-readable model available for computational analysis. Here we use cytogenetic data from the National Cancer Institute (NCI)-curated Mitelman database1 to create a structured karyotype language. Then, drug-gene-disease triplets are generated via a computational pipeline connecting public drug-gene interaction data sources to identify potential drug repurposing opportunities.",
keywords = "Cytogenetics, Drug repurposing, Karyotype, Text mining",
author = "Abrams, {Zachary B.} and Peabody, {Andrea L.} and Heerema, {Nyla A.} and Payne, {Philip R.O.}",
note = "Publisher Copyright: {\textcopyright} 2015 IMIA and IOS Press.; 15th World Congress on Health and Biomedical Informatics, MEDINFO 2015 ; Conference date: 19-08-2015 Through 23-08-2015",
year = "2015",
doi = "10.3233/978-1-61499-564-7-1037",
language = "English",
series = "Studies in Health Technology and Informatics",
publisher = "IOS Press",
pages = "1037",
editor = "Andrew Georgiou and Sarkar, {Indra Neil} and {de Azevedo Marques}, {Paulo Mazzoncini}",
booktitle = "MEDINFO 2015",
}