Jumat, 06 Februari 2009

Open access to online BIO research journals!

Here is a great collection of open access online research journals published by BioMed Central. Below you will find the journals self description and a link. I just found this resource so I have not reviewed any of the journals yet. I will be exploring them this weekend :) Enjoy!








Journal of Biology is the premier biology journal published by BioMed Central, the publisher of Genome Biology and the BMC series. Journal of Biology publishes research articles of exceptional interest, with associated commentary, and provides immediate free access to all articles online. Journal of Biology is an international journal that publishes biological research articles of exceptional interest, together with associated commentary. Original research articles that are accepted for publication are published in full on the web within two weeks, are immediately made freely available to all. Articles from the full spectrum of biology are appropriate for consideration, provided they are of outstanding interest and importance. (As a guide, the journal will consider articles of a standard similar to those published in Nature, Science or Cell.)






Genome Biology publishes articles from the full spectrum of biology. Subjects covered include any aspect of molecular, cellular, organismal or population biology studied from a genomic perspective, as well as genomics, proteomics, bioinformatics, genomic methods (including structure prediction), computational biology, sequence analysis (including large-scale and cross-genome analyses), comparative biology and evolution.





Genome Medicine is an online peer-reviewed journal which publishes open access research articles of outstanding quality in all areas of medicine studied from a genomic or post-genomic perspective. The journal has a special focus on the latest technologies and findings that have an impact on the understanding and management of human health and disease.







Immunome Research is ready to receive manuscripts on all aspects of cutting edge immunology research, integrating genomics, bioinformatics and mathematical modelling with traditional laboratory research.







Genetics Selection Evolution is ready to accept articles presenting original research on all aspects of genetics and selection in both farm and experimental animals.





BMC Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics (ISSN 1471-2164) is indexed/tracked/covered by PubMed, MEDLINE, BIOSIS, CAS, Scopus, EMBASE, Zoological Record, Thomson Reuters (ISI) and Google Scholar.





BMC Medical Genomics
is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease. BMC Medical Genomics (ISSN 1755-8794) is indexed/tracked/covered by PubMed, BIOSIS, CAS and Google Scholar.





BMC Evolutionary Biology is an open access journal publishing original peer-reviewed research articles in all aspects of molecular and non-molecular evolution of all organisms, as well as phylogenetics and palaeontology. BMC Evolutionary Biology (ISSN 1471-2148) is indexed/tracked/covered by PubMed, MEDLINE, BIOSIS, CAS, Zoological Record, Current Contents, Thomson Reuters (ISI) and Google Scholar.





BMC Bioinformatics is an open access journal publishing original peer-reviewed research articles in all aspects of computational methods used in the analysis and annotation of sequences and structures, as well as all other areas of computational biology. BMC Bioinformatics (ISSN 1471-2105) is indexed/tracked/covered by PubMed, MEDLINE, BIOSIS, CAS, Scopus, EMBASE, Thomson Reuters (ISI) and Google Scholar.





Biology Direct aims to publish original research articles, hypotheses, and reviews from the full spectrum of biology; the first subject areas launched are Genomics, Bioinformatics, Systems Biology and Immunology and Mathematical Biology. Further subject areas will be launched from time to time until the full spectrum of biology is covered. Subjects covered will include any aspect of molecular, cellular, organismal or population biology, as well as methods, theoretical and computational biology, comparative biology, and evolution.

Biology Direct considers the following types of articles:

  • Research: reports of data from original research.
  • Reviews: comprehensive, authoritative, descriptions of any subject within the scope of the journal. These articles are usually written by opinion leaders that have been invited by the Editorial Board.
  • Hypotheses: short articles presenting an untested original hypothesis backed solely by previously published results rather than any new evidence.
  • Comment: short, narrowly focused articles of contemporary interest, usually commissioned by the journal (these are not mini-reviews).
  • Discovery notes: brief reports of specific discoveries made by computational analysis of nucleic acid and/or protein sequences, structures or other data, with novel observations and conclusions about the function, organization, or evolution of proteins, genes or genomes.







Epigenetics & Chromatin welcomes all high-quality articles that provide novel insights into epigenetic inheritance and chromatin-based interactions. Topics include, but are not limited to, gene silencing and imprinting, cellular reprogramming, nucleosome modification assembly and remodeling, DNA methylation, chromatin structure and dynamics, chromosomal maintenance elements, dosage compensation, interchromosomal interactions and prion inheritance.







Proteome Science is ready to receive manuscripts based on all aspects of functional and structural proteomics.






BioData Mining
, is an open access, peer reviewed, online journal encompassing research on all aspects of data mining applied to high-dimensional biological and biomedical data, focusing on computational aspects of knowledge discovery from large-scale genetic, transcriptomic, genomic, proteomic, and metabolomic data.

Topical areas include, but are not limited to:

  • Development, evaluation, and application of novel data mining and machine learning algorithms.
  • Adaptation, evaluation, and application of traditional data mining and machine learning algorithms.
  • Open-source software for the application of data mining and machine learning algorithms.
  • Design, development and integration of databases, software and web services for the storage, management, retrieval, and analysis of data from large scale studies.
  • Pre-processing, post-processing, modeling, and interpretation of data mining and machine learning results for biological interpretation and knowledge discovery.






Source Code for Biology and Medicine
is ready to receive manuscripts on all aspects of workflow for information systems, decision support systems, client user networks, database management, and data mining.





Algorithms for Molecular Biology is an open access, peer-reviewed online journal that encompasses all aspects of algorithms and software tools for molecular biology and genomics. Areas of interest include but are not limited to: algorithms for RNA and protein structure analysis, gene prediction and genome analysis, comparative sequence analysis and alignment, phylogeny, gene expression, machine learning, and combinatorial algorithms.





Theoretical Biology and Medical Modelling is ready to receive manuscripts on all aspects of biology and the conceptual modelling required to understand its complexity.





Publishes all of the journals above.

SOME Research highlights
Genome Biology 2009, 10:R12
Novel stochastic protein domain duplication/innovation models that are independent of genome-specific features are used to interpret global trends of genome evolution.

Genome Biology 2009, 10:R11
A genome-wide analysis of the response to insulin and wingless activation using splicing-sensitive microarrays shows distinct but overlapping programs of transcriptional and posttranscriptional regulation.

Genome Biology 2009, 10:R10
Gene expression data for duplicated gene pairs in humans provides insights into the regulatory factors affecting the expression divergence of these genes and implications for their evolution.

Genome Biology 2009, 10:R9
An in silico analysis of REST binding in non-neuronal human cells reveals how it can induce chromatin remodeling and reposition nucleosomes.

Source Code for Biology and Medicine 2009, 4:2
The web-based system GRIP (Gold Reference dataset constructor from Information on Protein complexes) enables researchers to simply and quickly create and search reference datasets for protein-protein interaction predictions in Saccharomyces cerevisiae.

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