Evidence map›Paper›PMID 19536279›Full record

ArticlePloS one2009

Custom design and analysis of high-density oligonucleotide bacterial tiling microarrays.

Gard O S Thomassen, Alexander D Rowe, Karin Lagesen, Jessica M Lindvall, Torbjørn Rognes

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. AnFrontiers in microbiology · 2019
    Article
  2. Frontiers in molecular biosciences · 2016
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. TAAPP: Tiling Array Analysis Pipeline for Prokaryotes.Genomics, proteomics & bioinformatics · 2011
    Article
  8. Article
  9. Article
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Gard O S ThomassenCentre for Molecular Biology and Neuroscience, Institute of Medical Microbiology, University of Oslo, Oslo, Norway.
Alexander D Rowe
Karin Lagesen
Jessica M Lindvall
Torbjørn Rognes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Genome, BacterialAlgorithmsChromosome MappingComputational BiologyDNA ProbesEscherichia coliGene Expression ProfilingGenes, BacterialGenetic TechniquesModels, GeneticNeisseria meningitidisOligonucleotidesSequence Analysis, DNASignal Processing, Computer-AssistedSoftwareDNA ProbesOligonucleotides

Identifiers

PMID19536279
PMCPMC2691959

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.