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HOMO: A novel script for data mining of microarrays
HOMO.pl is a perl script that allows extracting important registers from an extensive data table or microarrays results. It is very useful in data mining for microarrays analysis. HOMO works as a homogenizer that converts the initial data table into more specific and manageable data according to a l...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Biomedical Informatics
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3746100/ https://www.ncbi.nlm.nih.gov/pubmed/23976833 http://dx.doi.org/10.6026/97320630009748 |
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author | Garcia-Chequer, Adda Jeanette Jaimes-Diaz, Hueman Ponce-Castañeda, Martha Verónica |
author_facet | Garcia-Chequer, Adda Jeanette Jaimes-Diaz, Hueman Ponce-Castañeda, Martha Verónica |
author_sort | Garcia-Chequer, Adda Jeanette |
collection | PubMed |
description | HOMO.pl is a perl script that allows extracting important registers from an extensive data table or microarrays results. It is very useful in data mining for microarrays analysis. HOMO works as a homogenizer that converts the initial data table into more specific and manageable data according to a list of important genes or terms. This is very useful when a pathway, a condition, or a GO-Term is studied. The HOMO script has two inputs and one principal output. A table with the microarray data results is used as an input and a list of genes or important terms is used as a second input. The output is an adjusted table from the microarray results that contains only the genes included in the input list. HOMO's principal goal is to simplify the subsequent analyses to the microarray data. AVAILABILITY: HOMO.pl and a suite of example files are available by electronic mail request. |
format | Online Article Text |
id | pubmed-3746100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Biomedical Informatics |
record_format | MEDLINE/PubMed |
spelling | pubmed-37461002013-08-23 HOMO: A novel script for data mining of microarrays Garcia-Chequer, Adda Jeanette Jaimes-Diaz, Hueman Ponce-Castañeda, Martha Verónica Bioinformation Software HOMO.pl is a perl script that allows extracting important registers from an extensive data table or microarrays results. It is very useful in data mining for microarrays analysis. HOMO works as a homogenizer that converts the initial data table into more specific and manageable data according to a list of important genes or terms. This is very useful when a pathway, a condition, or a GO-Term is studied. The HOMO script has two inputs and one principal output. A table with the microarray data results is used as an input and a list of genes or important terms is used as a second input. The output is an adjusted table from the microarray results that contains only the genes included in the input list. HOMO's principal goal is to simplify the subsequent analyses to the microarray data. AVAILABILITY: HOMO.pl and a suite of example files are available by electronic mail request. Biomedical Informatics 2013-08-07 /pmc/articles/PMC3746100/ /pubmed/23976833 http://dx.doi.org/10.6026/97320630009748 Text en © 2013 Biomedical Informatics This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Software Garcia-Chequer, Adda Jeanette Jaimes-Diaz, Hueman Ponce-Castañeda, Martha Verónica HOMO: A novel script for data mining of microarrays |
title | HOMO: A novel script for data mining of microarrays |
title_full | HOMO: A novel script for data mining of microarrays |
title_fullStr | HOMO: A novel script for data mining of microarrays |
title_full_unstemmed | HOMO: A novel script for data mining of microarrays |
title_short | HOMO: A novel script for data mining of microarrays |
title_sort | homo: a novel script for data mining of microarrays |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3746100/ https://www.ncbi.nlm.nih.gov/pubmed/23976833 http://dx.doi.org/10.6026/97320630009748 |
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