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Evolutionary Bioinformatics

Synopsis: An open access, peer reviewed electronic journal that covers computational evolutionary biology and evolutionary bioinformatics.


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About this journal

Aims and scope:

Evolutionary Bioinformatics is an international, peer-reviewed journal focusing on evolutionary bioinformatics. There is growing awareness that to understand organismal form and function, through the use of molecular, genetic, genomic, and proteomic data, due consideration must be given to an organism's evolutionary context - history constrains the path an organism is obliged to take, and leaves an indelible mark on its component parts. Evolutionary Bioinformatics publishes papers on all aspects of computational evolutionary biology and evolutionary bioinformatics.

Editorial standards and procedures:

All submissions to this journal, with the exception of editorials and dedications (obituaries), are subject to rigorous peer review by a minimum of two peer reviewers who demonstrate current research experience in the paper's subject area.  Reviewers are required to provide in-depth, fair and objective reviews.  They may not act as reviewers if they are in a conflict of interest.  All final publishing decisions are made by the Editor in Chief or Associate Editor.

Official journal of the Bioinformatics Institute:

Evolutionary Bioinformatics was established as the official journal of The Bioinformatics Institute.  The Institute is a joint-venture between the University of Auckland, situated in New Zealand’s largest city, and AgResearch, New Zealand’s largest Crown Research Institute. Allen Rodrigo, Professor of Computational Biology and Bioinformatics, is the Institute’s Director, and it was at his initiative that the journal was established.

Working in collaboration with The Institute is Libertas Academica, a publishing firm committed to high editorial standards, open access publishing methodologies and superior user-service standards. There is much work involved ‘behind-the-scenes’ that goes towards the finished result seen by readers of Evolutionary Bioinformatics. Key amongst this work, which also includes attracting the best submissions, supervising effective peer review and typesetting, is gaining acceptance for indexing by outside organizations.

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This journal has been awarded a SPARC Europe Seal. The Seal is an initiative of SPARC Europe (Scholarly Publishing and Academic Resources Coalition) and the Directory of Open Access Journals (DOAJ) which is awarded to journals applying a Creative Commons CC-BY copyright license and that make journal metadata accessible to DOAJ.  

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As of April 7 2008, the US NIH Public Access Policy requires that all peer reviewed articles resulting from research carried out with NIH funding be deposited in the Pubmed Central archive.

If you are an NIH employee or grantee Libertas Academica will ensure that you comply with the policy by depositing your paper at Pubmed Central on your behalf. 

ISSN: 1176-9343


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An Improved Implementation of Codon Adaptation Index

Authors: Xuhua Xia
Publication Date: 17 May 2007
Evolutionary Bioinformatics 2007:3 53-58

Xuhua Xia

Department of Biology and Center for Advanced Research in Environmental Genomics, University of Ottawa, 30 Marie Curie, P.O. Box 450, Station A, Ottawa, Ontario, Canada, K1N 6N5.

Abstract: Codon adaptation index is a widely used index for characterizing gene expression in general and translation efficiency in particular. Current computational implementations have a number of problems leading to various systematic biases. I illustrate these problems and provide a better computer implementation to solve these problems. The improved CAI can predict protein production better than CAI from other commonly used implementations.



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