Literature DB >> 17698494

PhylArray: phylogenetic probe design algorithm for microarray.

Cécile Militon1, Sébastien Rimour, Mohieddine Missaoui, Corinne Biderre, Vincent Barra, David Hill, Anne Moné, Geneviève Gagne, Harald Meier, Eric Peyretaillade, Pierre Peyret.   

Abstract

MOTIVATION: Microbial diversity is still largely unknown in most environments, such as soils. In order to get access to this microbial 'black-box', the development of powerful tools such as microarrays are necessary. However, the reliability of this approach relies on probe efficiency, in particular sensitivity, specificity and explorative power, in order to obtain an image of the microbial communities that is close to reality.
RESULTS: We propose a new probe design algorithm that is able to select microarray probes targeting SSU rRNA at any phylogenetic level. This original approach, implemented in a program called 'PhylArray', designs a combination of degenerate and non-degenerate probes for each target taxon. Comparative experimental evaluations indicate that probes designed with PhylArray yield a higher sensitivity and specificity than those designed by conventional approaches. Applying the combined PhyArray/GoArrays strategy helps to optimize the hybridization performance of short probes. Finally, hybridizations with environmental targets have shown that the use of the PhylArray strategy can draw attention to even previously unknown bacteria.

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Year:  2007        PMID: 17698494     DOI: 10.1093/bioinformatics/btm392

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  10 in total

1.  Accessing the soil metagenome for studies of microbial diversity.

Authors:  Tom O Delmont; Patrick Robe; Sébastien Cecillon; Ian M Clark; Florentin Constancias; Pascal Simonet; Penny R Hirsch; Timothy M Vogel
Journal:  Appl Environ Microbiol       Date:  2010-12-23       Impact factor: 4.792

2.  Improving probe set selection for microbial community analysis by leveraging taxonomic information of training sequences.

Authors:  Paul M Ruegger; Gianluca Della Vedova; Tao Jiang; James Borneman
Journal:  BMC Bioinformatics       Date:  2011-10-10       Impact factor: 3.169

3.  MetCap: a bioinformatics probe design pipeline for large-scale targeted metagenomics.

Authors:  Sandeep K Kushwaha; Lokeshwaran Manoharan; Tejashwari Meerupati; Katarina Hedlund; Dag Ahrén
Journal:  BMC Bioinformatics       Date:  2015-02-28       Impact factor: 3.169

Review 4.  Sequence capture by hybridization to explore modern and ancient genomic diversity in model and nonmodel organisms.

Authors:  Cyrielle Gasc; Eric Peyretaillade; Pierre Peyret
Journal:  Nucleic Acids Res       Date:  2016-04-21       Impact factor: 16.971

5.  The human gut chip "HuGChip", an explorative phylogenetic microarray for determining gut microbiome diversity at family level.

Authors:  William Tottey; Jeremie Denonfoux; Faouzi Jaziri; Nicolas Parisot; Mohiedine Missaoui; David Hill; Guillaume Borrel; Eric Peyretaillade; Monique Alric; Hugh M B Harris; Ian B Jeffery; Marcus J Claesson; Paul W O'Toole; Pierre Peyret; Jean-François Brugère
Journal:  PLoS One       Date:  2013-05-17       Impact factor: 3.240

6.  Gene capture coupled to high-throughput sequencing as a strategy for targeted metagenome exploration.

Authors:  Jérémie Denonfoux; Nicolas Parisot; Eric Dugat-Bony; Corinne Biderre-Petit; Delphine Boucher; Diego P Morgavi; Denis Le Paslier; Eric Peyretaillade; Pierre Peyret
Journal:  DNA Res       Date:  2013-01-30       Impact factor: 4.458

7.  Large scale explorative oligonucleotide probe selection for thousands of genetic groups on a computing grid: application to phylogenetic probe design using a curated small subunit ribosomal RNA gene database.

Authors:  Faouzi Jaziri; Eric Peyretaillade; Mohieddine Missaoui; Nicolas Parisot; Sébastien Cipière; Jérémie Denonfoux; Antoine Mahul; Pierre Peyret; David R C Hill
Journal:  ScientificWorldJournal       Date:  2014-01-06

8.  PhylOPDb: a 16S rRNA oligonucleotide probe database for prokaryotic identification.

Authors:  Faouzi Jaziri; Nicolas Parisot; Anis Abid; Jérémie Denonfoux; Céline Ribière; Cyrielle Gasc; Delphine Boucher; Jean-François Brugère; Antoine Mahul; David R C Hill; Eric Peyretaillade; Pierre Peyret
Journal:  Database (Oxford)       Date:  2014-04-26       Impact factor: 3.451

9.  Hybridization capture reveals microbial diversity missed using current profiling methods.

Authors:  Cyrielle Gasc; Pierre Peyret
Journal:  Microbiome       Date:  2018-03-27       Impact factor: 14.650

10.  Comparing 16S rDNA amplicon sequencing and hybridization capture for pea aphid microbiota diversity analysis.

Authors:  Marie Cariou; Céline Ribière; Stéphanie Morlière; Jean-Pierre Gauthier; Jean-Christophe Simon; Pierre Peyret; Sylvain Charlat
Journal:  BMC Res Notes       Date:  2018-07-11
  10 in total

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