author_facet Mazumder, Raja
Kolaskar, Ashok
Seto, Donald
Mazumder, Raja
Kolaskar, Ashok
Seto, Donald
author Mazumder, Raja
Kolaskar, Ashok
Seto, Donald
spellingShingle Mazumder, Raja
Kolaskar, Ashok
Seto, Donald
Bioinformatics
GeneOrder: comparing the order of genes in small genomes
Computational Mathematics
Computational Theory and Mathematics
Computer Science Applications
Molecular Biology
Biochemistry
Statistics and Probability
author_sort mazumder, raja
spelling Mazumder, Raja Kolaskar, Ashok Seto, Donald 1367-4811 1367-4803 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/17.2.162 <jats:title>Abstract</jats:title> <jats:p>Motivation: The recent rapid rise in the availability of whole genome DNA sequence data has led to bottlenecks in their complete analysis. Specifically, there is a need for software tools that will allow mining of gene and putative gene data at a whole genome level. These new tools will complement the current set already in use for studying specific aspects of individual genes and putative genes in detail. A key software challenge is to make them user-friendly, without losing their flexibility and capability for use in research.</jats:p> <jats:p>Results: The creation of GeneOrder—a web-based interactive, computational tool—allows researchers to compare the order of genes in two genomes. It has been tested on full genome sequence data for viruses, mitochondria and chloroplasts that were obtained from the NCBI GenBank database. It is accessible at http://www.bif.atcc.org/GENEOrder/index.html. GeneOrder prepares the comparison in table form, listing the order of similar genes. Hyperlinks are provided from this output; these lead to the ‘Protein Coding Regions’ in the NCBI database.</jats:p> <jats:p>* To whom correspondence should be addressed.</jats:p> GeneOrder: comparing the order of genes in small genomes Bioinformatics
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title GeneOrder: comparing the order of genes in small genomes
title_unstemmed GeneOrder: comparing the order of genes in small genomes
title_full GeneOrder: comparing the order of genes in small genomes
title_fullStr GeneOrder: comparing the order of genes in small genomes
title_full_unstemmed GeneOrder: comparing the order of genes in small genomes
title_short GeneOrder: comparing the order of genes in small genomes
title_sort geneorder: comparing the order of genes in small genomes
topic Computational Mathematics
Computational Theory and Mathematics
Computer Science Applications
Molecular Biology
Biochemistry
Statistics and Probability
url http://dx.doi.org/10.1093/bioinformatics/17.2.162
publishDate 2001
physical 162-166
description <jats:title>Abstract</jats:title> <jats:p>Motivation: The recent rapid rise in the availability of whole genome DNA sequence data has led to bottlenecks in their complete analysis. Specifically, there is a need for software tools that will allow mining of gene and putative gene data at a whole genome level. These new tools will complement the current set already in use for studying specific aspects of individual genes and putative genes in detail. A key software challenge is to make them user-friendly, without losing their flexibility and capability for use in research.</jats:p> <jats:p>Results: The creation of GeneOrder—a web-based interactive, computational tool—allows researchers to compare the order of genes in two genomes. It has been tested on full genome sequence data for viruses, mitochondria and chloroplasts that were obtained from the NCBI GenBank database. It is accessible at http://www.bif.atcc.org/GENEOrder/index.html. GeneOrder prepares the comparison in table form, listing the order of similar genes. Hyperlinks are provided from this output; these lead to the ‘Protein Coding Regions’ in the NCBI database.</jats:p> <jats:p>* To whom correspondence should be addressed.</jats:p>
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author Mazumder, Raja, Kolaskar, Ashok, Seto, Donald
author_facet Mazumder, Raja, Kolaskar, Ashok, Seto, Donald, Mazumder, Raja, Kolaskar, Ashok, Seto, Donald
author_sort mazumder, raja
container_issue 2
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description <jats:title>Abstract</jats:title> <jats:p>Motivation: The recent rapid rise in the availability of whole genome DNA sequence data has led to bottlenecks in their complete analysis. Specifically, there is a need for software tools that will allow mining of gene and putative gene data at a whole genome level. These new tools will complement the current set already in use for studying specific aspects of individual genes and putative genes in detail. A key software challenge is to make them user-friendly, without losing their flexibility and capability for use in research.</jats:p> <jats:p>Results: The creation of GeneOrder—a web-based interactive, computational tool—allows researchers to compare the order of genes in two genomes. It has been tested on full genome sequence data for viruses, mitochondria and chloroplasts that were obtained from the NCBI GenBank database. It is accessible at http://www.bif.atcc.org/GENEOrder/index.html. GeneOrder prepares the comparison in table form, listing the order of similar genes. Hyperlinks are provided from this output; these lead to the ‘Protein Coding Regions’ in the NCBI database.</jats:p> <jats:p>* To whom correspondence should be addressed.</jats:p>
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spelling Mazumder, Raja Kolaskar, Ashok Seto, Donald 1367-4811 1367-4803 Oxford University Press (OUP) Computational Mathematics Computational Theory and Mathematics Computer Science Applications Molecular Biology Biochemistry Statistics and Probability http://dx.doi.org/10.1093/bioinformatics/17.2.162 <jats:title>Abstract</jats:title> <jats:p>Motivation: The recent rapid rise in the availability of whole genome DNA sequence data has led to bottlenecks in their complete analysis. Specifically, there is a need for software tools that will allow mining of gene and putative gene data at a whole genome level. These new tools will complement the current set already in use for studying specific aspects of individual genes and putative genes in detail. A key software challenge is to make them user-friendly, without losing their flexibility and capability for use in research.</jats:p> <jats:p>Results: The creation of GeneOrder—a web-based interactive, computational tool—allows researchers to compare the order of genes in two genomes. It has been tested on full genome sequence data for viruses, mitochondria and chloroplasts that were obtained from the NCBI GenBank database. It is accessible at http://www.bif.atcc.org/GENEOrder/index.html. GeneOrder prepares the comparison in table form, listing the order of similar genes. Hyperlinks are provided from this output; these lead to the ‘Protein Coding Regions’ in the NCBI database.</jats:p> <jats:p>* To whom correspondence should be addressed.</jats:p> GeneOrder: comparing the order of genes in small genomes Bioinformatics
spellingShingle Mazumder, Raja, Kolaskar, Ashok, Seto, Donald, Bioinformatics, GeneOrder: comparing the order of genes in small genomes, Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability
title GeneOrder: comparing the order of genes in small genomes
title_full GeneOrder: comparing the order of genes in small genomes
title_fullStr GeneOrder: comparing the order of genes in small genomes
title_full_unstemmed GeneOrder: comparing the order of genes in small genomes
title_short GeneOrder: comparing the order of genes in small genomes
title_sort geneorder: comparing the order of genes in small genomes
title_unstemmed GeneOrder: comparing the order of genes in small genomes
topic Computational Mathematics, Computational Theory and Mathematics, Computer Science Applications, Molecular Biology, Biochemistry, Statistics and Probability
url http://dx.doi.org/10.1093/bioinformatics/17.2.162