Protein Functional Annotation and Databases
Providing the scientific community with a comprehensive, high-quality and freely accessible resource of protein sequence and functional information.
UniProt Consortium, supported by the National Human Genome Research Institute (NHGRI), National Institutes of Health, grant #U01 HG02712-04
Protein Ontology
Developing a Protein Ontology under the Open Biomedical Ontologies Foundry framework to capture knowledge representation of protein biology embedded in the scientific literature to facilitate pathway, network and disease modeling.
Protein Ontology Consortium, funded by the National Institute of General Medical Sciences (NIGMS), National Institutes of Health, grant #R01 GM080646-01
NECC Cyber-Enabled Research Project
Collaborative project to sequence the little skate, Leucoraja erinacea, genome. Project supports workforce development for next generation sequencing analysis and functional interpretation. This includes hosting bioinformatics workshops, where participants learn how to use common bioinformatics applications and gain experience completing hands-on exercises
North East Cyberinfrastructure Consortium, Funded by NIH/NCRR, grant# 5 P20 RR016472.
iProLink Text Mining Resource
The iProlink resource includes: BioThesaurus of gene/protein names that allows the identification of synonymous and ambiguous names and the RLIMS-P text mining system to extract phosphorylation information from Medline abstracts.
Omics Data Integration
iProClass and iProxpress provide rich protein annotation with data from over 100 molecular databases and the underlying data warehouse for gene/protein ID and name mapping and for functional profiling and pathway analysis of large-scale gene expression and proteomic data.
Genome-Wide Association Studies in Chicken
Studying chicken genome-wide association using integrative genomics and systems biology approach
VIROME: Viral Resource for Metagenome Exploration
An analysis pipeline and interactive web visualization environment for exploration of metagenomic data.