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Droplet microarrays: from surface patterning to high‐throughput applications
High‐throughput screening of live cells and chemical reactions in isolated droplets is an
important and growing method in areas ranging from studies of gene functions and the …
important and growing method in areas ranging from studies of gene functions and the …
Integrative approaches for finding modular structure in biological networks
A central goal of systems biology is to elucidate the structural and functional architecture of
the cell. To this end, large and complex networks of molecular interactions are being rapidly …
the cell. To this end, large and complex networks of molecular interactions are being rapidly …
[HTML][HTML] DISEASES: Text mining and data integration of disease–gene associations
Text mining is a flexible technology that can be applied to numerous different tasks in
biology and medicine. We present a system for extracting disease–gene associations from …
biology and medicine. We present a system for extracting disease–gene associations from …
WebGestalt: an integrated system for exploring gene sets in various biological contexts
High-throughput technologies have led to the rapid generation of large-scale datasets about
genes and gene products. These technologies have also shifted our research focus from …
genes and gene products. These technologies have also shifted our research focus from …
[HTML][HTML] Challenges and perspectives of metaproteomic data analysis
In nature microorganisms live in complex microbial communities. Comprehensive taxonomic
and functional knowledge about microbial communities supports medical and technical …
and functional knowledge about microbial communities supports medical and technical …
Computational tools for prioritizing candidate genes: boosting disease gene discovery
Y Moreau, LC Tranchevent - Nature Reviews Genetics, 2012 - nature.com
At different stages of any research project, molecular biologists need to choose—often
somewhat arbitrarily, even after careful statistical data analysis—which genes or proteins to …
somewhat arbitrarily, even after careful statistical data analysis—which genes or proteins to …
Diseases 2.0: a weekly updated database of disease–gene associations from text mining and data integration
The scientific knowledge about which genes are involved in which diseases grows rapidly,
which makes it difficult to keep up with new publications and genetics datasets. The …
which makes it difficult to keep up with new publications and genetics datasets. The …
Epistasis: too often neglected in complex trait studies?
Interactions among loci or between genes and environmental factors make a substantial
contribution to variation in complex traits such as disease susceptibility. Nonetheless, many …
contribution to variation in complex traits such as disease susceptibility. Nonetheless, many …
Content‐based citation analysis: The next generation of citation analysis
Traditional citation analysis has been widely applied to detect patterns of scientific
collaboration, map the landscapes of scholarly disciplines, assess the impact of research …
collaboration, map the landscapes of scholarly disciplines, assess the impact of research …
Extraction of relations between genes and diseases from text and large-scale data analysis: implications for translational research
Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …
information reported in scientific publications. Automated text mining approaches, in …