Results

Frederik Schulz
… eukaryotic microbes and viruses in environmental sequence data. Dr. Schulz employs multi-omics (metagenomics, … machine learning to find novel functions that may impact microbiome structure and biogeochemical cycles. He provides … B.Sc. Biochemistry, University of Applied Sciences Mannheim (Germany) M.Sc. Molecular Microbiology, …
Learn more
Genome‐wide associations with flowering time in switchgrass using exome‐capture sequencing data
Learn more
The BioMart community portal: an innovative alternative to large, centralized data repositories
Learn more
acdc – Automated Contamination Detection and Confidence estimation for single-cell genome data
Learn more
Genomes OnLine Database (GOLD) v.6: data updates and feature enhancements
Learn more
Nontargeted virus sequence discovery pipeline and virus clustering for metagenomic data
Learn more
Combining Hadoop with MPI to Solve Metagenomics Problems that are both Data- and Compute-intensive
Learn more
iVirus 2.0: Cyberinfrastructure-supported tools and data to power DNA virus ecology
Learn more
Searching for fat tails in CRISPR-Cas systems: Data analysis and mathematical modeling
Learn more
GNPS Dashboard: collaborative exploration of mass spectrometry data in the web browser
Learn more
Best practices for the execution, analysis, and data storage of plant single-cell/nucleus transcriptomics
Learn more
Fast and accurate identification of plasmids and viruses in sequencing data using geNomad
Learn more