Evidence map›Paper›PMID 19758451›Full record

ArticleBMC bioinformatics2009

Efficient oligonucleotide probe selection for pan-genomic tiling arrays.

Adam M Phillippy, Xiangyu Deng, Wei Zhang, Steven L Salzberg

Abstract read
In one paragraph

Article in BMC bioinformatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Short Read Mapping: An Algorithmic Tour.Proceedings of the IEEE. Institute of Electrical and Electronics Engineers · 2017
    Article
  5. Article
  6. Article
  7. Article
  8. TAAPP: Tiling Array Analysis Pipeline for Prokaryotes.Genomics, proteomics & bioinformatics · 2011
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adam M PhillippyCenter for Bioinformatics and Computational Biology, University of Maryland, College Park, MD 20742, USA. amp@umiacs.umd.edu
Xiangyu Deng
Wei Zhang
Steven L Salzberg

Funding

COMPUTATIONAL MODELING OF GENES AND GENE STRUCTURER01LM006845 · NLM · UNIV OF MARYLAND, COLLEGE PARK · PI SALZBERG, STEVEN L. · 1999 to 2010
$5.9M
Bioinformatics Software for Analyzing Microbial GenomesR01GM083873 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI SALZBERG, STEVEN L. · 2008 to 2017
$2.1M
NIGMS NIH HHS R01 GM083873NLM NIH HHS R01 LM006845
6 · The paper itself

Abstract

backgroundArray comparative genomic hybridization is a fast and cost-effective method for detecting, genotyping, and comparing the genomic sequence of unknown bacterial isolates. This method, as with all microarray applications, requires adequate coverage of probes targeting the regions of interest. An unbiased tiling of probes across the entire length of the genome is the most flexible design approach. However, such a whole-genome tiling requires that the genome sequence is known in advance. For the accurate analysis of uncharacterized bacteria, an array must query a fully representative set of sequences from the species' pan-genome. Prior microarrays have included only a single strain per array or the conserved sequences of gene families. These arrays omit potentially important genes and sequence variants from the pan-genome.

resultsThis paper presents a new probe selection algorithm (PanArray) that can tile multiple whole genomes using a minimal number of probes. Unlike arrays built on clustered gene families, PanArray uses an unbiased, probe-centric approach that does not rely on annotations, gene clustering, or multi-alignments. Instead, probes are evenly tiled across all sequences of the pan-genome at a consistent level of coverage. To minimize the required number of probes, probes conserved across multiple strains in the pan-genome are selected first, and additional probes are used only where necessary to span polymorphic regions of the genome. The viability of the algorithm is demonstrated by array designs for seven different bacterial pan-genomes and, in particular, the design of a 385,000 probe array that fully tiles the genomes of 20 different Listeria monocytogenes strains with overlapping probes at greater than twofold coverage.

conclusionPanArray is an oligonucleotide probe selection algorithm for tiling multiple genome sequences using a minimal number of probes. It is capable of fully tiling all genomes of a species on a single microarray chip. These unique pan-genome tiling arrays provide maximum flexibility for the analysis of both known and uncharacterized strains.

Indexed as

AlgorithmsComputational BiologyGenomeListeria monocytogenesOligonucleotide Array Sequence AnalysisOligonucleotide ProbesOligonucleotide Probes

Identifiers

PMID19758451
PMCPMC2753849

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.