ArticleBMC research notes2016
Thermodynamically optimal whole-genome tiling microarray design and validation.
Article in BMC research notes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Comprehensive Analysis of SiNPs on the Genome-Wide Transcriptional Changes inInternational journal of nanomedicine · 2020Article
- Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences.Briefings in bioinformatics · 2018Review
- Sequence characteristics define trade-offs between on-target and genome-wide off-target hybridization of oligoprobes.PloS one · 2018Article
- Mango: combining and analyzing heterogeneous biological networks.BioData mining · 2016Article
- Respiratory Tularemia:The open microbiology journal · 2016Article
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2 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroarray is an efficient apparatus to interrogate the whole transcriptome of species. Microarray can be designed according to annotated gene sets, but the resulted microarrays cannot be used to identify novel transcripts and this design method is not applicable to unannotated species. Alternatively, a whole-genome tiling microarray can be designed using only genomic sequences without gene annotations, and it can be used to detect novel RNA transcripts as well as known genes. The difficulty with tiling microarray design lies in the tradeoff between probe-specificity and coverage of the genome. Sequence comparison methods based on BLAST or similar software are commonly employed in microarray design, but they cannot precisely determine the subtle thermodynamic competition between probe targets and partially matched probe nontargets during hybridizations.
findingsUsing the whole-genome thermodynamic analysis software PICKY to design tiling microarrays, we can achieve maximum whole-genome coverage allowable under the thermodynamic constraints of each target genome. The resulted tiling microarrays are thermodynamically optimal in the sense that all selected probes share the same melting temperature separation range between their targets and closest nontargets, and no additional probes can be added without violating the specificity of the microarray to the target genome.
conclusionsThis new design method was used to create two whole-genome tiling microarrays for Escherichia coli MG1655 and Agrobacterium tumefaciens C58 and the experiment results validated the design.
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