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GEVALT: An integrated software tool for genotype analysis
BACKGROUND: Genotype information generated by individual and international efforts carries the promise of revolutionizing disease studies and the association of phenotypes with alleles and haplotypes. Given the enormous amounts of public genotype data, tools for analyzing, interpreting and visualizi...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1797190/ https://www.ncbi.nlm.nih.gov/pubmed/17270038 http://dx.doi.org/10.1186/1471-2105-8-36 |
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author | Davidovich, Ofir Kimmel, Gad Shamir, Ron |
author_facet | Davidovich, Ofir Kimmel, Gad Shamir, Ron |
author_sort | Davidovich, Ofir |
collection | PubMed |
description | BACKGROUND: Genotype information generated by individual and international efforts carries the promise of revolutionizing disease studies and the association of phenotypes with alleles and haplotypes. Given the enormous amounts of public genotype data, tools for analyzing, interpreting and visualizing these data sets are of critical importance to researchers. In past works we have developed algorithms for genotypes phasing and tag SNP selection, which were shown to be quick and accurate. Both algorithms were available until now only as batch executables. RESULTS: Here we present GEVALT (GEnotype Visualization and ALgorithmic Tool), a software package designed to simplify and expedite the process of genotype analysis, by providing a common interface to several tasks relating to such analysis. GEVALT combines the strong visual abilities of Haploview with our quick and powerful algorithms for genotypes phasing (GERBIL), tag SNP selection (STAMPA) and permutation testing for evaluating significance of association. All of the above are provided in a visually appealing and interactive interface. CONCLUSION: GEVALT is an integrated viewer that uses state of the art phasing and tag SNP selection algorithms. By streamlining the application of GERBIL and STAMPA together with strong visualization for assessment of the results, GEVALT makes the algorithms accessible to the broad community of researchers in genetics. |
format | Text |
id | pubmed-1797190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-17971902007-02-14 GEVALT: An integrated software tool for genotype analysis Davidovich, Ofir Kimmel, Gad Shamir, Ron BMC Bioinformatics Software BACKGROUND: Genotype information generated by individual and international efforts carries the promise of revolutionizing disease studies and the association of phenotypes with alleles and haplotypes. Given the enormous amounts of public genotype data, tools for analyzing, interpreting and visualizing these data sets are of critical importance to researchers. In past works we have developed algorithms for genotypes phasing and tag SNP selection, which were shown to be quick and accurate. Both algorithms were available until now only as batch executables. RESULTS: Here we present GEVALT (GEnotype Visualization and ALgorithmic Tool), a software package designed to simplify and expedite the process of genotype analysis, by providing a common interface to several tasks relating to such analysis. GEVALT combines the strong visual abilities of Haploview with our quick and powerful algorithms for genotypes phasing (GERBIL), tag SNP selection (STAMPA) and permutation testing for evaluating significance of association. All of the above are provided in a visually appealing and interactive interface. CONCLUSION: GEVALT is an integrated viewer that uses state of the art phasing and tag SNP selection algorithms. By streamlining the application of GERBIL and STAMPA together with strong visualization for assessment of the results, GEVALT makes the algorithms accessible to the broad community of researchers in genetics. BioMed Central 2007-02-01 /pmc/articles/PMC1797190/ /pubmed/17270038 http://dx.doi.org/10.1186/1471-2105-8-36 Text en Copyright © 2007 Davidovich et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Davidovich, Ofir Kimmel, Gad Shamir, Ron GEVALT: An integrated software tool for genotype analysis |
title | GEVALT: An integrated software tool for genotype analysis |
title_full | GEVALT: An integrated software tool for genotype analysis |
title_fullStr | GEVALT: An integrated software tool for genotype analysis |
title_full_unstemmed | GEVALT: An integrated software tool for genotype analysis |
title_short | GEVALT: An integrated software tool for genotype analysis |
title_sort | gevalt: an integrated software tool for genotype analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1797190/ https://www.ncbi.nlm.nih.gov/pubmed/17270038 http://dx.doi.org/10.1186/1471-2105-8-36 |
work_keys_str_mv | AT davidovichofir gevaltanintegratedsoftwaretoolforgenotypeanalysis AT kimmelgad gevaltanintegratedsoftwaretoolforgenotypeanalysis AT shamirron gevaltanintegratedsoftwaretoolforgenotypeanalysis |