A novel method for prokaryotic promoter prediction based on DNA stability

Aditi Kanhere; Manju Bansal

doi:10.1186/1471-2105-6-1

A novel method for prokaryotic promoter prediction based on DNA stability

Aditi Kanhere, Manju Bansal

Biosciences

Research output: Contribution to journal › Article › peer-review

65 Citations (Scopus)

124 Downloads (Pure)

Abstract

In the post-genomic era, correct gene prediction has become one of the biggest challenges in genome annotation. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. This work presents a novel prokaryotic promoter prediction method based on DNA stability.

Original language	English
Article number	1
Journal	BMC Bioinformatics
Volume	6
DOIs	https://doi.org/10.1186/1471-2105-6-1
Publication status	Published - 5 Jan 2005

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Kanhere_Bansal_Novel_Method_Prokaryotic_Promotor_Prediction_BMC_Bioinformatics_2005
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Checked July 2015
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title = "A novel method for prokaryotic promoter prediction based on DNA stability",

abstract = "In the post-genomic era, correct gene prediction has become one of the biggest challenges in genome annotation. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. This work presents a novel prokaryotic promoter prediction method based on DNA stability.",

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AU - Bansal, Manju

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AB - In the post-genomic era, correct gene prediction has become one of the biggest challenges in genome annotation. Improved promoter prediction methods can be one step towards developing more reliable ab initio gene prediction methods. This work presents a novel prokaryotic promoter prediction method based on DNA stability.

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VL - 6

JO - BMC Bioinformatics

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A novel method for prokaryotic promoter prediction based on DNA stability

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