Sune Frankild
Molecular Biology · 2006–2014
A researcher in the Science corpus: 6 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 117 citations into it; #12,718 of 17,773 by trust here, #4,105 by citations
Whom Sune Frankild trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lars Juhl Jensen
- Michael Kuhn
- Damian Szklarczyk
- Andrea Franceschini
- Daniel Hanisch
- Peer Bork
- Janos X. Binder
- Jasmin Saric
- C. Marshall
- M. Slatkin
Who trusts Sune Frankild overall
Papers from Sune Frankild's perspective
Ordered by how strongly the researchers Sune Frankild trusts endorse each paper. Same corpus, a different order for every researcher.
- Literature mining for the biologist: from information retrieval to biological discovery (Nature reviews genetics)
- PubChem: a public information system for analyzing bioactivities of small molecules
- The MetaCyc database of metabolic pathways and enzymes and the BioCyc collection of pathway/genome databases
- Gene Ontology: tool for the unification of biology
- STITCH 4: integration of protein–chemical interactions with user data
- COSMIC: mining complete cancer genomes in the Catalogue of Somatic Mutations in Cancer
- DrugBank 3.0: a comprehensive resource for ‘Omics’ research on drugs
- The COG database: a tool for genome-scale analysis of protein functions and evolution
- A side effect resource to capture phenotypic effects of drugs
- McKusick's Online Mendelian Inheritance in Man (OMIM®) (Nucleic Acids Res.)
Their papers
- STRING v9.1: protein-protein interaction networks, with increased coverage and integration (2012) — 4,385 citations
- COMPARTMENTS: unification and visualization of protein subcellular localization evidence (2014) — 612 citations
- STITCH 4: integration of protein–chemical interactions with user data (2013) — 457 citations
- A Community Resource Benchmarking Predictions of Peptide Binding to MHC-I Molecules (2006) — 308 citations
- DISEASES: Text mining and data integration of disease–gene associations (2014) — 567 citations
- Immune epitope database analysis resource (IEDB-AR) (2008) — 391 citations