The Genome Atlas Resource

Matloob Azam Qureshi; Eva Rotenberg; Hans Henrik Stærfeldt; Lena Hansson; David Ussery

The Genome Atlas Resource

Matloob Azam Qureshi, Eva Rotenberg, Hans Henrik Stærfeldt, Lena Hansson, David Ussery

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Abstract. The Genome Atlas is a resource for addressing the challenges of synchronising prokaryotic genomic sequence data from multiple public repositories. This resource can integrate bioinformatic analyses in various data format and quality. Existing open source tools have been used together with scripts and algorithms developed in a variety of programming languages at the Centre for Biological Sequence Analysis in order to create a three-tier software application for genome analysis. The results are made available via a web interface developed in Java, PHP and Perl CGI. User-configurable and dynamic views of Chromosomal maps are made possible through an updated GeneWiz browser (version 0.94) which uses Java to allow rapid zooming in and out of the atlases.

Original language	English
Title of host publication	International Conference on Computational Systems-Biology and Bioinformatics, Proceedings
Volume	115
Publisher	Springer
Publication date	2010
Pages	149-158
Publication status	Published - 2010
Event	1st International Conference on Computational Systems-Biology and Bioinformatics - Bangkok, Thailand Duration: 3 Nov 2010 → 5 Nov 2010 Conference number: 1

Conference

Conference	1st International Conference on Computational Systems-Biology and Bioinformatics
Number	1
Country/Territory	Thailand
City	Bangkok
Period	03/11/2010 → 05/11/2010

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@inproceedings{e0b61151b81e4638bb4769720b164507,

title = "The Genome Atlas Resource",

abstract = "Abstract. The Genome Atlas is a resource for addressing the challenges of synchronising prokaryotic genomic sequence data from multiple public repositories. This resource can integrate bioinformatic analyses in various data format and quality. Existing open source tools have been used together with scripts and algorithms developed in a variety of programming languages at the Centre for Biological Sequence Analysis in order to create a three-tier software application for genome analysis. The results are made available via a web interface developed in Java, PHP and Perl CGI. User-configurable and dynamic views of Chromosomal maps are made possible through an updated GeneWiz browser (version 0.94) which uses Java to allow rapid zooming in and out of the atlases.",

author = "{Azam Qureshi}, Matloob and Eva Rotenberg and St{\ae}rfeldt, {Hans Henrik} and Lena Hansson and David Ussery",

year = "2010",

language = "English",

volume = "115",

pages = "149--158",

booktitle = "International Conference on Computational Systems-Biology and Bioinformatics, Proceedings",

publisher = "Springer",

note = "1st International Conference on Computational Systems-Biology and Bioinformatics, CSBio 2010 ; Conference date: 03-11-2010 Through 05-11-2010",

}

TY - GEN

T1 - The Genome Atlas Resource

AU - Azam Qureshi, Matloob

AU - Rotenberg, Eva

AU - Stærfeldt, Hans Henrik

AU - Hansson, Lena

AU - Ussery, David

N1 - Conference code: 1

PY - 2010

Y1 - 2010

N2 - Abstract. The Genome Atlas is a resource for addressing the challenges of synchronising prokaryotic genomic sequence data from multiple public repositories. This resource can integrate bioinformatic analyses in various data format and quality. Existing open source tools have been used together with scripts and algorithms developed in a variety of programming languages at the Centre for Biological Sequence Analysis in order to create a three-tier software application for genome analysis. The results are made available via a web interface developed in Java, PHP and Perl CGI. User-configurable and dynamic views of Chromosomal maps are made possible through an updated GeneWiz browser (version 0.94) which uses Java to allow rapid zooming in and out of the atlases.

AB - Abstract. The Genome Atlas is a resource for addressing the challenges of synchronising prokaryotic genomic sequence data from multiple public repositories. This resource can integrate bioinformatic analyses in various data format and quality. Existing open source tools have been used together with scripts and algorithms developed in a variety of programming languages at the Centre for Biological Sequence Analysis in order to create a three-tier software application for genome analysis. The results are made available via a web interface developed in Java, PHP and Perl CGI. User-configurable and dynamic views of Chromosomal maps are made possible through an updated GeneWiz browser (version 0.94) which uses Java to allow rapid zooming in and out of the atlases.

M3 - Article in proceedings

VL - 115

SP - 149

EP - 158

BT - International Conference on Computational Systems-Biology and Bioinformatics, Proceedings

PB - Springer

T2 - 1st International Conference on Computational Systems-Biology and Bioinformatics

Y2 - 3 November 2010 through 5 November 2010

ER -

The Genome Atlas Resource

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