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使用 PICKY 进行共享探针设计和现有微阵列重新分析。

Shared probe design and existing microarray reanalysis using PICKY.

机构信息

Department of Genetics, Development and Cell Biology, and Department of Computer Science, Iowa State University, Ames, IA, 50011-3223, USA.

出版信息

BMC Bioinformatics. 2010 Apr 20;11:196. doi: 10.1186/1471-2105-11-196.

DOI:10.1186/1471-2105-11-196
PMID:20406469
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2875240/
Abstract

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.

摘要

背景

大型基因组包含高度相似的基因家族,这些基因家族无法通过微阵列探针单独识别。这种限制是由于热力学限制造成的,任何计算方法都无法解决。由于基因注释的更新频率高于微阵列,因此微阵列用户面临的另一个常见问题是,必须定期重新分析现有的微阵列,以确定与更新注释相关的仍然有用的探针。

结果

PICKY 2.0 可以为无法使用独特探针单独识别的基因集设计共享探针。PICKY 2.0 使用新颖的算法来跟踪基因之间可共享的区域,并在热力学比较过程中严格将其与其他高度相似但非目标区域区分开来。因此,在选择共享探针时,PICKY 不会牺牲其质量。最新的 PICKY 2.1 包括了重新分析现有微阵列探针以针对更新的基因集确定仍然有效的探针的新功能。此外,还增加了更精确的非线性盐效应估计和其他改进,使得 PICKY 2.1 对微阵列用户更具多功能性。

结论

共享探针允许检测表达基因家族成员;这种能力通常比不知道这些基因更可取。共享探针还可以设计跨基因组微阵列,从而促进环境样本中多种物种的鉴定。新的非线性盐效应计算大大提高了在较低缓冲盐浓度下探针的精度,并且探针重新分析功能改进了现有微阵列结果的解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/860bfd628661/1471-2105-11-196-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/c1af7f8ff3af/1471-2105-11-196-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/d9828bc1b786/1471-2105-11-196-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/a68b4e16594b/1471-2105-11-196-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/5535ad7076c5/1471-2105-11-196-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/38c263fb13e2/1471-2105-11-196-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/860bfd628661/1471-2105-11-196-6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/c1af7f8ff3af/1471-2105-11-196-1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/d9828bc1b786/1471-2105-11-196-2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/a68b4e16594b/1471-2105-11-196-3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/5535ad7076c5/1471-2105-11-196-4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/38c263fb13e2/1471-2105-11-196-5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fee/2875240/860bfd628661/1471-2105-11-196-6.jpg

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