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Bioinformatics and Biology Insights

Synopsis: An open access, peer reviewed electronic journal that covers computational biology, particularly computational methods used in the analysis and annotation of structures.


Indexing: 6 major databases. Pubmed indexing for NIH-funded research.

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About this journal

Aims and scope:

Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on computational methods used in the analysis and annotation of structures, in addition to other areas of computational biology and the broader field of biology.

It both complements Libertas Academica’s subject-specific journals in the area and also seeks to place bioinformatics in the broader context of biology. The journal welcomes all submissions in the field of bioinformatics and also submissions dealing with the relationship between bioinformatics and the broader field of biology. Submissions of original research, reviews, tutorials, rapid communications, expert commentaries, letters, application notes, and point–counter-point articles are welcomed for peer review. No word limits are imposed, but authors are reminded that excessive word-counts may attract adverse comment by peer reviewers and discourage readers.

The submission of tutorial-type articles is encouraged, in which methods which have been developed in the recent past are reviewed in such a way as to make them readily comprehensible for Biologists. Papers discussing methodologies are discouraged unless they explicitly demonstrate that new biological insights have been gained or that earlier methods used to gain a new insight can be replaced.

Authors are encouraged to consider submitting their manuscripts to Evolutionary Bioinformatics and Cancer Informatics, if they consider that their manuscript is exclusively or specifically relevant to those journals’ audiences.

Editorial standards and procedures:

Submissions, excluding editorials, letters to the editor and dedications, will be peer reviewed by two reviewers.  Reviewers are required to provide fair, balanced and constructive reports.  

Under our Fairness in Peer Review Policy authors may appeal against reviewers' recommendations which are ill-founded, unobjective or unfair.  Appeals are considered by the Editor in Chief or Associate Editor.

Papers are not sent to peer reviewers following submission of a revised manuscript. Editorial decisions on re-submitted papers are based on the author's response to the initial peer review report.

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This journal is indexed by the following services:

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  • CAS
  • DOAJ
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  • SCOPUS

SPARC Europe Seal award winner:

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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National Institutes of Health Public Access Policy compliant:

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: 1177-9322


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Neuroinformatics: From Bioinformatics to Databasing the Brain

Authors: Thomas M. Morse
Publication Date: 14 May 2008
Bioinformatics and Biology Insights 2008:2 259-270

Thomas M . Morse

Department of Neurobiology, Yale University School of Medicine, 336 Cedar Street, New Haven CT 06510.

Abstract

Neuroinformatics seeks to create and maintain web-accessible databases of experimental and computational data, together with innovative software tools, essential for understanding the nervous system in its normal function and in neurological disorders. Neuroinformatics includes traditional bioinformatics of gene and protein sequences in the brain; atlases of brain anatomy and localization of genes and proteins; imaging of brain cells; brain imaging by positron emission tomography (PET), functional magnetic resonance imaging (fMRI), electroencephalography (EEG), magnetoencephalography (MEG) and other methods; many electrophysiological recording methods; and clinical neurological data, among others. Building neuroinformatics databases and tools presents difficult challenges because they span a wide range of spatial scales and types of data stored and analyzed. Traditional bioinformatics, by comparison, focuses primarily on genomic and proteomic data (which of course also presents difficult challenges). Much of bioinformatics analysis focus on sequences (DNA, RNA, and protein molecules), as the type of data that are stored, compared, and sometimes modeled. Bioinformatics is undergoing explosive growth with the addition, for example, of databases that catalog interactions between proteins, of databases that track the evolution of genes, and of systems biology databases which contain models of all aspects of organisms. This commentary briefly reviews neuroinformatics with clarification of its relationship to traditional and modern bioinformatics.



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