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Shared probe design and existing microarray reanalysis using PICKY
BACKGROUND: Large genomes contain families of highly similar genes that cannot be individually identified by microarray probes. This limitation is due to thermodynamic restrictions and cannot be resolved by any computational method. Since gene annotations are updated more frequently than microarrays...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2875240/ https://www.ncbi.nlm.nih.gov/pubmed/20406469 http://dx.doi.org/10.1186/1471-2105-11-196 |
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author | Chou, Hui-Hsien |
author_facet | Chou, Hui-Hsien |
author_sort | Chou, Hui-Hsien |
collection | PubMed |
description | BACKGROUND: Large genomes contain families of highly similar genes that cannot be individually identified by microarray probes. This limitation is due to thermodynamic restrictions and cannot be resolved by any computational method. Since gene annotations are updated more frequently than microarrays, another common issue facing microarray users is that existing microarrays must be routinely reanalyzed to determine probes that are still useful with respect to the updated annotations. RESULTS: PICKY 2.0 can design shared probes for sets of genes that cannot be individually identified using unique probes. PICKY 2.0 uses novel algorithms to track sharable regions among genes and to strictly distinguish them from other highly similar but nontarget regions during thermodynamic comparisons. Therefore, PICKY does not sacrifice the quality of shared probes when choosing them. The latest PICKY 2.1 includes the new capability to reanalyze existing microarray probes against updated gene sets to determine probes that are still valid to use. In addition, more precise nonlinear salt effect estimates and other improvements are added, making PICKY 2.1 more versatile to microarray users. CONCLUSIONS: Shared probes allow expressed gene family members to be detected; this capability is generally more desirable than not knowing anything about these genes. Shared probes also enable the design of cross-genome microarrays, which facilitate multiple species identification in environmental samples. The new nonlinear salt effect calculation significantly increases the precision of probes at a lower buffer salt concentration, and the probe reanalysis function improves existing microarray result interpretations. |
format | Text |
id | pubmed-2875240 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28752402010-05-25 Shared probe design and existing microarray reanalysis using PICKY Chou, Hui-Hsien BMC Bioinformatics Software BACKGROUND: Large genomes contain families of highly similar genes that cannot be individually identified by microarray probes. This limitation is due to thermodynamic restrictions and cannot be resolved by any computational method. Since gene annotations are updated more frequently than microarrays, another common issue facing microarray users is that existing microarrays must be routinely reanalyzed to determine probes that are still useful with respect to the updated annotations. RESULTS: PICKY 2.0 can design shared probes for sets of genes that cannot be individually identified using unique probes. PICKY 2.0 uses novel algorithms to track sharable regions among genes and to strictly distinguish them from other highly similar but nontarget regions during thermodynamic comparisons. Therefore, PICKY does not sacrifice the quality of shared probes when choosing them. The latest PICKY 2.1 includes the new capability to reanalyze existing microarray probes against updated gene sets to determine probes that are still valid to use. In addition, more precise nonlinear salt effect estimates and other improvements are added, making PICKY 2.1 more versatile to microarray users. CONCLUSIONS: Shared probes allow expressed gene family members to be detected; this capability is generally more desirable than not knowing anything about these genes. Shared probes also enable the design of cross-genome microarrays, which facilitate multiple species identification in environmental samples. The new nonlinear salt effect calculation significantly increases the precision of probes at a lower buffer salt concentration, and the probe reanalysis function improves existing microarray result interpretations. BioMed Central 2010-04-20 /pmc/articles/PMC2875240/ /pubmed/20406469 http://dx.doi.org/10.1186/1471-2105-11-196 Text en Copyright ©2010 Chou; 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 Chou, Hui-Hsien Shared probe design and existing microarray reanalysis using PICKY |
title | Shared probe design and existing microarray reanalysis using PICKY |
title_full | Shared probe design and existing microarray reanalysis using PICKY |
title_fullStr | Shared probe design and existing microarray reanalysis using PICKY |
title_full_unstemmed | Shared probe design and existing microarray reanalysis using PICKY |
title_short | Shared probe design and existing microarray reanalysis using PICKY |
title_sort | shared probe design and existing microarray reanalysis using picky |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2875240/ https://www.ncbi.nlm.nih.gov/pubmed/20406469 http://dx.doi.org/10.1186/1471-2105-11-196 |
work_keys_str_mv | AT chouhuihsien sharedprobedesignandexistingmicroarrayreanalysisusingpicky |