HomSI: A Homozygous Stretch Identifier From Next-Generation Sequencing Data
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
Oxford Univ Press
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
94
OpenAIRE Views
162
Publicly Funded
No
Abstract
In consanguineous families, as a result of inheriting the same genomic segments through both parents, the individuals have stretches of their genomes that are homozygous. This situation leads to the prevalence of recessive diseases among the members of these families. Homozygosity mapping is based on this observation, and in consanguineous families, several recessive disease genes have been discovered with the help of this technique. The researchers typically use single nucleotide polymorphism arrays to determine the homozygous regions and then search for the disease gene by sequencing the genes within this candidate disease loci. Recently, the advent of next-generation sequencing enables the concurrent identification of homozygous regions and the detection of mutations relevant for diagnosis, using data from a single sequencing experiment. In this respect, we have developed a novel tool that identifies homozygous regions using deep sequence data. Using*.vcf (variant call format) files as an input file, our program identifies the majority of homozygous regions found by microarray single nucleotide polymorphism genotype data.
Description
Bakir-Gungor, Burcu/0000-0002-2272-6270;
ORCID
Keywords
Internet, Genotype, Homozygote, High-Throughput Nucleotide Sequencing, Genes, Recessive, GENE, Polymorphism, Single Nucleotide, Consanguinity, Mutation, Humans, MUTATION, Software
Fields of Science
0301 basic medicine, 03 medical and health sciences
Citation
WoS Q
Q1
Scopus Q
Q1

OpenCitations Citation Count
42
Source
Bioinformatics
Volume
30
Issue
3
Start Page
445
End Page
447
PlumX Metrics
Citations
CrossRef : 31
Scopus : 42
PubMed : 18
Captures
Mendeley Readers : 51
SCOPUS™ Citations
42
checked on Apr 14, 2026
Web of Science™ Citations
42
checked on Apr 14, 2026
Page Views
8
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Downloads
2
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