Literature DB >> 17392329

A fast and flexible approach to oligonucleotide probe design for genomes and gene families.

Shengzhong Feng1, Elisabeth R M Tillier.   

Abstract

MOTIVATION: With hundreds of completely sequenced microbial genomes available, and advancements in DNA microarray technology, the detection of genes in microbial communities consisting of hundreds of thousands of sequences may be possible. The existing strategies developed for DNA probe design, geared toward identifying specific sequences, are not suitable due to the lack of coverage, flexibility and efficiency necessary for applications in metagenomics.
METHODS: ProDesign is a tool developed for the selection of oligonucleotide probes to detect members of gene families present in environmental samples. Gene family-specific probe sequences are generated based on specific and shared words, which are found with the spaced seed hashing algorithm. To detect more sequences, those sharing some common words are re-clustered into new families, then probes specific for the new families are generated.
RESULTS: The program is very flexible in that it can be used for designing probes for detecting many genes families simultaneously and specifically in one or more genomes. Neither the length nor the melting temperature of the probes needs to be predefined. We have found that ProDesign provides more flexibility, coverage and speed than other software programs used in the selection of probes for genomic and gene family arrays. AVAILABILITY: ProDesign is licensed free of charge to academic users. ProDesign and Supplementary Material can be obtained by contacting the authors. A web server for ProDesign is available at http://www.uhnresearch.ca/labs/tillier/ProDesign/ProDesign.html. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

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Year:  2007        PMID: 17392329     DOI: 10.1093/bioinformatics/btm114

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


  13 in total

1.  Design and verification of a pangenome microarray oligonucleotide probe set for Dehalococcoides spp.

Authors:  Laura A Hug; Maryam Salehi; Paulo Nuin; Elisabeth R Tillier; Elizabeth A Edwards
Journal:  Appl Environ Microbiol       Date:  2011-06-10       Impact factor: 4.792

2.  Seeds for effective oligonucleotide design.

Authors:  Lucian Ilie; Silvana Ilie; Shima Khoshraftar; Anahita Mansouri Bigvand
Journal:  BMC Genomics       Date:  2011-06-01       Impact factor: 3.969

3.  Open-target sparse sensing of biological agents using DNA microarray.

Authors:  Mojdeh Mohtashemi; David K Walburger; Matthew W Peterson; Felicia N Sutton; Haley B Skaer; James C Diggans
Journal:  BMC Bioinformatics       Date:  2011-07-29       Impact factor: 3.169

4.  Efficient computation of spaced seeds.

Authors:  Silvana Ilie
Journal:  BMC Res Notes       Date:  2012-02-28

5.  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

6.  OligoArrayDb: pangenomic oligonucleotide microarray probe sets database.

Authors:  Jean-Marie Rouillard; Erdogan Gulari
Journal:  Nucleic Acids Res       Date:  2008-10-23       Impact factor: 16.971

7.  Efficient oligonucleotide probe selection for pan-genomic tiling arrays.

Authors:  Adam M Phillippy; Xiangyu Deng; Wei Zhang; Steven L Salzberg
Journal:  BMC Bioinformatics       Date:  2009-09-16       Impact factor: 3.169

8.  An empirical study of choosing efficient discriminative seeds for oligonucleotide design.

Authors:  Won-Hyoung Chung; Seong-Bae Park
Journal:  BMC Genomics       Date:  2009-12-03       Impact factor: 3.969

9.  ORMA: a tool for identification of species-specific variations in 16S rRNA gene and oligonucleotides design.

Authors:  Marco Severgnini; Paola Cremonesi; Clarissa Consolandi; Giada Caredda; Gianluca De Bellis; Bianca Castiglioni
Journal:  Nucleic Acids Res       Date:  2009-06-16       Impact factor: 16.971

10.  In silico microarray probe design for diagnosis of multiple pathogens.

Authors:  Ravi Vijaya Satya; Nela Zavaljevski; Kamal Kumar; Elizabeth Bode; Susana Padilla; Leonard Wasieloski; Jeanne Geyer; Jaques Reifman
Journal:  BMC Genomics       Date:  2008-10-21       Impact factor: 3.969

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