ArticlePloS one2009
Custom design and analysis of high-density oligonucleotide bacterial tiling microarrays.
Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- AnFrontiers in microbiology · 2019Article
- Article
- Tiling array study of MNNG treated Escherichia coli reveals a widespread transcriptional response.Scientific reports · 2013Article
- Analysis of the regulated transcriptome of Neisseria meningitidis in human blood using a tiling array.Journal of bacteriology · 2012Article
- EcoBrowser: a web-based tool for visualizing transcriptome data of Escherichia coli.BMC research notes · 2011Article
- A global transcriptional analysis of Plasmodium falciparum malaria reveals a novel family of telomere-associated lncRNAs.Genome biology · 2011Article
- TAAPP: Tiling Array Analysis Pipeline for Prokaryotes.Genomics, proteomics & bioinformatics · 2011Article
- Tiling array analysis of UV treated Escherichia coli predicts novel differentially expressed small peptides.PloS one · 2010Article
- Dynamic probe selection for studying microbial transcriptome with high-density genomic tiling microarrays.BMC bioinformatics · 2010Article
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Authors and funding
5 authors.
Funding
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Abstract
backgroundHigh-density tiling microarrays are a powerful tool for the characterization of complete genomes. The two major computational challenges associated with custom-made arrays are design and analysis. Firstly, several genome dependent variables, such as the genome's complexity and sequence composition, need to be considered in the design to ensure a high quality microarray. Secondly, since tiling projects today very often exceed the limits of conventional array-experiments, researchers cannot use established computer tools designed for commercial arrays, and instead have to redesign previous methods or create novel tools. PRINCIPAL
findingsHere we describe the multiple aspects involved in the design of tiling arrays for transcriptome analysis and detail the normalisation and analysis procedures for such microarrays. We introduce a novel design method to make two 280,000 feature microarrays covering the entire genome of the bacterial species Escherichia coli and Neisseria meningitidis, respectively, as well as the use of multiple copies of control probe-sets on tiling microarrays. Furthermore, a novel normalisation and background estimation procedure for tiling arrays is presented along with a method for array analysis focused on detection of short transcripts. The design, normalisation and analysis methods have been applied in various experiments and several of the detected novel short transcripts have been biologically confirmed by Northern blot tests.
conclusionsTiling-arrays are becoming increasingly applicable in genomic research, but researchers still lack both the tools for custom design of arrays, as well as the systems and procedures for analysis of the vast amount of data resulting from such experiments. We believe that the methods described herein will be a useful contribution and resource for researchers designing and analysing custom tiling arrays for both bacteria and higher organisms.
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