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- Visualization of the protein-coding regions with a self adaptive spectral rotation approach
- Automated construction and testing of multi-locus gene-gene associations
- Statistical confidence measures for genome maps: application to the validation of genome assemblies
- Advanced computational algorithms for microbial community analysis using massive 16S rRNA sequence data
- Optimizing the noise versus bias trade-off for Illumina whole genome expression BeadChips
- High-quality annotation of promoter regions for 913 bacterial genomes
- PyETV: a PyMOL evolutionary trace viewer to analyze functional site predictions in protein complexes
- Pre-calculated protein structure alignments at the RCSB PDB website
- The SMARTCyp cytochrome P450 metabolism prediction server
- R/qtl: high-throughput multiple QTL mapping
Nucleic Acids Research
- Preferred analysis methods for single genomic regions in RNA sequencing revealed by processing the shape of coverage
- Direct and specific chemical control of eukaryotic translation with a synthetic RNA-protein interaction
- Amplified microRNA detection by templated chemistry
- Sample richness and genetic diversity as drivers of chimera formation in nSSU metagenetic analyses
- R-SAP: a multi-threading computational pipeline for the characterization of high-throughput RNA-sequencing data
Bioinformatics
- Predicting giant transmembrane {beta}-barrel architecture
- 1001 Proteomes: a functional proteomics portal for the analysis of Arabidopsis thaliana accessions
- CONTRA: copy number analysis for targeted resequencing
- Probabilistic suffix array: efficient modeling and prediction of protein families
- Fulcrum: condensing redundant reads from high-throughput sequencing studies
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The SMARTCyp cytochrome P450 metabolism prediction server
The SMARTCyp cytochrome P450 metabolism prediction server - Summary: The SMARTCyp server is the first web application for site of metabolism prediction of cytochrome P450-mediated drug metabolism.
Availability: The SMARTCyp server is freely available for use on the web at www.farma.ku.dk/smartcyp where the SMARTCyp Java program and source code is also available for download.
Supplementary information: Supplementary data are available at Bioinformatics online.
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