Topics
All (200)
alternative splicing (2)
Bayesian Networks (3)
clustering (3)
combinatorial optimization (1)
comparative genomics (8)
database construction (4)
database searching (1)
determining or using metabolic pathways and networks (3)
determining or using regulatory pathways and networks (3)
DNA sequencing (1)
drug design (1)
experiment design (1)
gene expression analysis (13)
gene networks (7)
gene prediction (3)
genome alignment/comparisons (1)
genome annotation (3)
genome evolution (3)
genome rearrangements (2)
haplotype modeling, finding, analysis (5)
haplotype use (2)
machine learning (7)
mass-spec technologies (4)
microarray design and/or data analysis (10)
models of evolution (6)
molecular evolution (2)
molecular modeling and/or docking (3)
multiple sequence alignment (3)
new technologies (1)
Other (7)
pairwise sequence alignment (2)
pattern and motif discovery (3)
phylogenetic analysis (3)
phylogenetics: algorithms (2)
protein function prediction (17)
protein interaction (8)
protein structure comparison (10)
protein structure prediction (9)
quantitative or population genetics (3)
regulatory region prediction (5)
RNA structure comparison (2)
RNA structure prediction (3)
sequence assembly (4)
SNP discovery or use (5)
splice site recognition (2)
statistics of motifs or strings (2)
string algorithms (1)
systems biology (6)
| - Clarke IV, Thomas (University of Notre Dame) Influence of translation rate on co-translational folding intermediates
- Donald, Jason (Harvard University) Predicting Specificity-determing Residues for Eukaryotic Transcription Factors
- Huang, Hailiang (Johns Hopkins University ) Probabilistic paths in protein interaction networks
- Jang, Hyunchul (Electronics and Telecommunications Research Institute) A Corpus Tagging Tool for Extraction of Biological Relation Events
- Jang, Hyunchul (Electronics and Telecommunications Research Institute) Reducing Parsing Error of an Existing Parser for Extracting Biological Relation Events
- Lee, Hyun-Sook (Bioinformatics Research Team, Electronics and Telecommunication Research Institute) Named Entity Recognition in Various Biomedical Domain
- Lim, Jaesoo (Electronics and Telecommunications Research Institute (ETRI)) Named Entity Recognition using Maximum Entropy Models on Biologists' Literature
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