Droplet microarrays: from surface patterning to high‐throughput applications

W Feng, E Ueda, PA Levkin - Advanced materials, 2018 - Wiley Online Library
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 …

Integrative approaches for finding modular structure in biological networks

K Mitra, AR Carvunis, SK Ramesh, T Ideker - Nature Reviews Genetics, 2013 - nature.com
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 …

[HTML][HTML] DISEASES: Text mining and data integration of disease–gene associations

S Pletscher-Frankild, A Pallejà, K Tsafou, JX Binder… - Methods, 2015 - Elsevier
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 …

WebGestalt: an integrated system for exploring gene sets in various biological contexts

B Zhang, S Kirov, J Snoddy - Nucleic acids research, 2005 - academic.oup.com
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 …

[HTML][HTML] Challenges and perspectives of metaproteomic data analysis

R Heyer, K Schallert, R Zoun, B Becher, G Saake… - Journal of …, 2017 - Elsevier
In nature microorganisms live in complex microbial communities. Comprehensive taxonomic
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 …

Diseases 2.0: a weekly updated database of disease–gene associations from text mining and data integration

D Grissa, A Junge, TI Oprea, LJ Jensen - Database, 2022 - academic.oup.com
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 …

Epistasis: too often neglected in complex trait studies?

Ö Carlborg, CS Haley - Nature Reviews Genetics, 2004 - nature.com
Interactions among loci or between genes and environmental factors make a substantial
contribution to variation in complex traits such as disease susceptibility. Nonetheless, many …

Content‐based citation analysis: The next generation of citation analysis

Y Ding, G Zhang, T Chambers, M Song… - Journal of the …, 2014 - Wiley Online Library
Traditional citation analysis has been widely applied to detect patterns of scientific
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

À Bravo, J Piñero, N Queralt-Rosinach, M Rautschka… - BMC …, 2015 - Springer
Background Current biomedical research needs to leverage and exploit the large amount of
information reported in scientific publications. Automated text mining approaches, in …