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ReAlignerV: Web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences
BACKGROUND: Detecting conserved noncoding sequences (CNSs) across species highlights the functional elements. Alignment procedures combined with computational prediction of transcription factor binding sites (TFBSs) can narrow down key regulatory elements. Repeat masking processes are often performe...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267439/ https://www.ncbi.nlm.nih.gov/pubmed/18294369 http://dx.doi.org/10.1186/1471-2105-9-112 |
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author | Iwana, Hisakazu Hori, Yukio Matsumoto, Kensuke Murao, Koji Ishida, Toshihiko |
author_facet | Iwana, Hisakazu Hori, Yukio Matsumoto, Kensuke Murao, Koji Ishida, Toshihiko |
author_sort | Iwana, Hisakazu |
collection | PubMed |
description | BACKGROUND: Detecting conserved noncoding sequences (CNSs) across species highlights the functional elements. Alignment procedures combined with computational prediction of transcription factor binding sites (TFBSs) can narrow down key regulatory elements. Repeat masking processes are often performed before alignment to mask insertion sequences such as transposable elements (TEs). However, recently such TEs have been reported to influence the gene regulatory network evolution. Therefore, an alignment approach that is robust to TE insertions is meaningful for finding novel conserved TFBSs in TEs. RESULTS: We constructed a web server 'ReAlignerV' for complex alignment of genomic sequences. ReAlignerV returns ladder-like schematic alignments that integrate predicted TFBSs and the location of TEs. It also provides pair-wise alignments in which the predicted TFBS sites and their names are shown alongside each sequence. Furthermore, we evaluated false positive aligned sites by focusing on the species-specific TEs (SSTEs), and found that ReAlignerV has a higher specificity and robustness to insertions for sequences having more than 20% TE content, compared to LAGAN, AVID, MAVID and BLASTZ. CONCLUSION: ReAlignerV can be applied successfully to TE-insertion-rich sequences without prior repeat masking, and this increases the chances of finding regulatory sequences hidden in TEs, which are important sources of the regulatory network evolution. ReAlignerV can be accessed through and downloaded from . |
format | Text |
id | pubmed-2267439 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22674392008-03-14 ReAlignerV: Web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences Iwana, Hisakazu Hori, Yukio Matsumoto, Kensuke Murao, Koji Ishida, Toshihiko BMC Bioinformatics Software BACKGROUND: Detecting conserved noncoding sequences (CNSs) across species highlights the functional elements. Alignment procedures combined with computational prediction of transcription factor binding sites (TFBSs) can narrow down key regulatory elements. Repeat masking processes are often performed before alignment to mask insertion sequences such as transposable elements (TEs). However, recently such TEs have been reported to influence the gene regulatory network evolution. Therefore, an alignment approach that is robust to TE insertions is meaningful for finding novel conserved TFBSs in TEs. RESULTS: We constructed a web server 'ReAlignerV' for complex alignment of genomic sequences. ReAlignerV returns ladder-like schematic alignments that integrate predicted TFBSs and the location of TEs. It also provides pair-wise alignments in which the predicted TFBS sites and their names are shown alongside each sequence. Furthermore, we evaluated false positive aligned sites by focusing on the species-specific TEs (SSTEs), and found that ReAlignerV has a higher specificity and robustness to insertions for sequences having more than 20% TE content, compared to LAGAN, AVID, MAVID and BLASTZ. CONCLUSION: ReAlignerV can be applied successfully to TE-insertion-rich sequences without prior repeat masking, and this increases the chances of finding regulatory sequences hidden in TEs, which are important sources of the regulatory network evolution. ReAlignerV can be accessed through and downloaded from . BioMed Central 2008-02-22 /pmc/articles/PMC2267439/ /pubmed/18294369 http://dx.doi.org/10.1186/1471-2105-9-112 Text en Copyright © 2008 Iwana 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 Iwana, Hisakazu Hori, Yukio Matsumoto, Kensuke Murao, Koji Ishida, Toshihiko ReAlignerV: Web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences |
title | ReAlignerV: Web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences |
title_full | ReAlignerV: Web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences |
title_fullStr | ReAlignerV: Web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences |
title_full_unstemmed | ReAlignerV: Web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences |
title_short | ReAlignerV: Web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences |
title_sort | realignerv: web-based genomic alignment tool with high specificity and robustness estimated by species-specific insertion sequences |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2267439/ https://www.ncbi.nlm.nih.gov/pubmed/18294369 http://dx.doi.org/10.1186/1471-2105-9-112 |
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