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Batch Blast Extractor: an automated blastx parser application

MOTIVATION: BLAST programs are very efficient in finding similarities for sequences. However for large datasets such as ESTs, manual extraction of the information from the batch BLAST output is needed. This can be time consuming, insufficient, and inaccurate. Therefore implementation of a parser app...

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Detalles Bibliográficos
Autores principales: Pirooznia, Mehdi, Perkins, Edward J, Deng, Youping
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559874/
https://www.ncbi.nlm.nih.gov/pubmed/18831775
http://dx.doi.org/10.1186/1471-2164-9-S2-S10
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author Pirooznia, Mehdi
Perkins, Edward J
Deng, Youping
author_facet Pirooznia, Mehdi
Perkins, Edward J
Deng, Youping
author_sort Pirooznia, Mehdi
collection PubMed
description MOTIVATION: BLAST programs are very efficient in finding similarities for sequences. However for large datasets such as ESTs, manual extraction of the information from the batch BLAST output is needed. This can be time consuming, insufficient, and inaccurate. Therefore implementation of a parser application would be extremely useful in extracting information from BLAST outputs. RESULTS: We have developed a java application, Batch Blast Extractor, with a user friendly graphical interface to extract information from BLAST output. The application generates a tab delimited text file that can be easily imported into any statistical package such as Excel or SPSS for further analysis. For each BLAST hit, the program obtains and saves the essential features from the BLAST output file that would allow further analysis. The program was written in Java and therefore is OS independent. It works on both Windows and Linux OS with java 1.4 and higher. It is freely available from:
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spelling pubmed-25598742008-10-04 Batch Blast Extractor: an automated blastx parser application Pirooznia, Mehdi Perkins, Edward J Deng, Youping BMC Genomics Research MOTIVATION: BLAST programs are very efficient in finding similarities for sequences. However for large datasets such as ESTs, manual extraction of the information from the batch BLAST output is needed. This can be time consuming, insufficient, and inaccurate. Therefore implementation of a parser application would be extremely useful in extracting information from BLAST outputs. RESULTS: We have developed a java application, Batch Blast Extractor, with a user friendly graphical interface to extract information from BLAST output. The application generates a tab delimited text file that can be easily imported into any statistical package such as Excel or SPSS for further analysis. For each BLAST hit, the program obtains and saves the essential features from the BLAST output file that would allow further analysis. The program was written in Java and therefore is OS independent. It works on both Windows and Linux OS with java 1.4 and higher. It is freely available from: BioMed Central 2008-09-16 /pmc/articles/PMC2559874/ /pubmed/18831775 http://dx.doi.org/10.1186/1471-2164-9-S2-S10 Text en Copyright © 2008 Pirooznia 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 Research
Pirooznia, Mehdi
Perkins, Edward J
Deng, Youping
Batch Blast Extractor: an automated blastx parser application
title Batch Blast Extractor: an automated blastx parser application
title_full Batch Blast Extractor: an automated blastx parser application
title_fullStr Batch Blast Extractor: an automated blastx parser application
title_full_unstemmed Batch Blast Extractor: an automated blastx parser application
title_short Batch Blast Extractor: an automated blastx parser application
title_sort batch blast extractor: an automated blastx parser application
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2559874/
https://www.ncbi.nlm.nih.gov/pubmed/18831775
http://dx.doi.org/10.1186/1471-2164-9-S2-S10
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