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``The creation and sharing of biological data lies at the heart of the dramatic expansion of the computational biology community. Open access online journals such as PLoS Computational Biology work in much the same way. Quality standards are maintained through rigorous peer review, but barriers to scientific communication, such as subscription fees and complex licenses, disappear. Immediately upon publication, readers can freely use the content without restriction. We simply ask that you credit the author and original source. The goal is to accelerate scientific progress through mutual understanding.''
Here are the research titles from the first issue:
- Ab Initio Prediction of Transcription Factor Targets Using Structural Knowledge
- What Makes Ribosome-Mediated Transcriptional Attenuation Sensitive to Amino Acid Limitation?
- Predicting Functional Gene Links from Phylogenetic-Statistical Analyses of Whole Genomes
- Combinatorial Pattern Discovery Approach for the Folding Trajectory Analysis of a beta-Hairpin
- Susceptibility to Superhelically Driven DNA Duplex Destabilization: A Highly Conserved Property of Yeast Replication Origins
- Improving the Precision of the Structure?Function Relationship by Considering Phylogenetic Context
- microRNA Target Predictions across Seven Drosophila Species and Comparison to Mammalian Targets
- Extraction of Transcript Diversity from Scientific Literature
- A Phenomenological Theory of Spatially Structured Local Synaptic Connectivity - The Genomic Pattern of tDNA Operon Expression in E. coli
URL
http://compbiol.plosjournals.org/perlserv/?request=get-toc&issn=1553-7358&volume=1&issue=1
Discussion forums: First issue of PLoS Computational Biology is now available
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