Literature DB >> 8481824

PCAP: probe choice and analysis package--a set of programs to aid in choosing synthetic oligomers for contig mapping.

A J Cuticchia1, J Arnold, W E Timberlake.   

Abstract

In the program, PCAP, we provide a methodology for choosing synthetic oligonucleotide probes to be used in contig mapping experiments. The package serves the purpose of presenting a series of short oligonucleotides (8-12mers) that are chosen based on constraints with respect to frequency of occurrence within a particular genome and the G+C content of the oligonucleotides. The four programs contained within the package: (i) convert GenBank files to a format useable by the package; (ii) calculate trinucleotide and tetranucleotide frequencies in available sequence data on a particular species; (iii) present the user with upper and lower bounds on the frequencies of hybridization sites for oligonucleotide probes of length 8-12, (iv) allow the user to place constraints on site frequency and G+C content and provides a list of short probe sequences that fit these criteria. These sequences can then be synthetically produced and used in hybridization experiments to carry out contig mapping.

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Year:  1993        PMID: 8481824     DOI: 10.1093/bioinformatics/9.2.201

Source DB:  PubMed          Journal:  Comput Appl Biosci        ISSN: 0266-7061


  3 in total

1.  Genome-wide selection of unique and valid oligonucleotides.

Authors:  Heikki Hyyrö; Martti Juhola; Mauno Vihinen
Journal:  Nucleic Acids Res       Date:  2005-07-26       Impact factor: 16.971

2.  Genome-wide identification of specific oligonucleotides using artificial neural network and computational genomic analysis.

Authors:  Chun-Chi Liu; Chin-Chung Lin; Ker-Chau Li; Wen-Shyen E Chen; Jiun-Ching Chen; Ming-Te Yang; Pan-Chyr Yang; Pei-Chun Chang; Jeremy J W Chen
Journal:  BMC Bioinformatics       Date:  2007-05-22       Impact factor: 3.169

3.  Efficient non-unique probes selection algorithms for DNA microarray.

Authors:  Ping Deng; My T Thai; Qingkai Ma; Weili Wu
Journal:  BMC Genomics       Date:  2008       Impact factor: 3.969

  3 in total

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