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פותח על ידי קלירמאש פתרונות בע"מ -
Utilizing microarray spot characteristics to improve cross-species hybridization results
Year:
2007
Source of publication :
genomics (source)
Authors :
בר-אור, כרמיה
;
.
קולטאי, חננית
;
.
Volume :
90
Co-Authors:
Bar-Or, C., Department of Ornamental Horticulture, ARO Volcani Center, Bet Dagan, 50250, Israel, The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agricultural, Food and Environmental Quality Sciences, Rehovot, Israel
Novikov, E., Service Bioinformatique, Institut Curie, Paris, France
Reiner, A., Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
Czosnek, H., The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agricultural, Food and Environmental Quality Sciences, Rehovot, Israel
Koltai, H., Department of Ornamental Horticulture, ARO Volcani Center, Bet Dagan, 50250, Israel
Facilitators :
From page:
636
To page:
645
(
Total pages:
10
)
Abstract:
Cross-species hybridization (CSH), i.e., the hybridization of a (target) species RNA to a DNA microarray that represents another (reference) species, is often used to study species diversity. However, filtration of CSH data has to be applied to extract valid information. We present a novel approach to filtering the CSH data, which utilizes spot characteristics (SCs) of image-quantification data from scanned spotted cDNA microarrays. Five SCs that were affected by sequence similarity between probe and target sequences were identified (designated as BS-SCs). Filtration by all five BS-SC thresholds demonstrated improved clustering for two of the three examined experiments, suggesting that BS-SCs may serve for filtration of data obtained by CSH, to improve the validity of the results. This CSH data-filtration approach could become a promising tool for studying a variety of species, especially when no genomic information is available for the target species. © 2007 Elsevier Inc. All rights reserved.
Note:
Related Files :
Filtration
gene expression
gene identification
gene sequence
image analysis
RNA
Solanum tuberosum
עוד תגיות
תוכן קשור
More details
DOI :
10.1016/j.ygeno.2007.06.008
Article number:
Affiliations:
Database:
סקופוס
Publication Type:
מאמר
;
.
Language:
אנגלית
Editors' remarks:
ID:
22830
Last updated date:
02/03/2022 17:27
Creation date:
16/04/2018 23:54
Scientific Publication
Utilizing microarray spot characteristics to improve cross-species hybridization results
90
Bar-Or, C., Department of Ornamental Horticulture, ARO Volcani Center, Bet Dagan, 50250, Israel, The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agricultural, Food and Environmental Quality Sciences, Rehovot, Israel
Novikov, E., Service Bioinformatique, Institut Curie, Paris, France
Reiner, A., Department of Physics of Complex Systems, Weizmann Institute of Science, Rehovot, Israel
Czosnek, H., The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Faculty of Agricultural, Food and Environmental Quality Sciences, Rehovot, Israel
Koltai, H., Department of Ornamental Horticulture, ARO Volcani Center, Bet Dagan, 50250, Israel
Utilizing microarray spot characteristics to improve cross-species hybridization results
Cross-species hybridization (CSH), i.e., the hybridization of a (target) species RNA to a DNA microarray that represents another (reference) species, is often used to study species diversity. However, filtration of CSH data has to be applied to extract valid information. We present a novel approach to filtering the CSH data, which utilizes spot characteristics (SCs) of image-quantification data from scanned spotted cDNA microarrays. Five SCs that were affected by sequence similarity between probe and target sequences were identified (designated as BS-SCs). Filtration by all five BS-SC thresholds demonstrated improved clustering for two of the three examined experiments, suggesting that BS-SCs may serve for filtration of data obtained by CSH, to improve the validity of the results. This CSH data-filtration approach could become a promising tool for studying a variety of species, especially when no genomic information is available for the target species. © 2007 Elsevier Inc. All rights reserved.
Scientific Publication
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