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Upcoming Articles for Bioinformatics2.0

Top Resources For Whole Genome Gene Expression Studies

Top Resources For Whole Genome Association Studies

Top Resources For Mass-Spectrometry Proteomics (Peptide ID)

Top Resources For Clinical Prediction Modeling

Top Resources For Pathway Analysis

Top Bioinformatics Browser Plug-ins

These articles will contain commented links generally arranged by:

Soft Resources
-Algorithms
-Software
-Databases

Hard Resources
-Journals
-People

Bioinformatics 2.0?

Bioinformatics 1.0

When DNA sequencing became routine, the resulting flurry of information led to the demand for new algorithms (sequence alignment), new databases (e.g., GenBank), and software for analyzing and viewing DNA and protein sequences (e.g., RasMol). Many of these tools are variously integrated into stand-alone apps, web apps, or grid-enabled software.

Bioinformatics 2.0
The Human Genome Project led to new revolutionary technologies such as DNA microarrays for SNP studies, whole genome association and gene expression microarrays for studying whole genome expression and methylation patterns. Adding to this is a proliferation of mass-spectometry tools for semi-quantitative and quantitative proteomics and new technologies that have created next generation sequencing. Powered by these data types and advances in patient data tracking and compilation, biomedical research is on the verge of being capable to run very large-scale retrospective and prospective studies and clinical trials. Bioinformatics 2.0 chronicles advances made in algorithms and software resources that enable and support these challenging data streams toward success in translational research.

Watch for news on highly relevant software releases. In the meantime, if you need help intepreting the data from your ongoing studies, contact us for information on our bioinformatics analysis consulting services.