David Moi
Molecular Biology · 2011–2020
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 65 citations into it
- Genetics — 12 citations into it
- Information Retrieval & Search — 5 citations into it
Whom David Moi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrei Z. Broder
- Clément-Marie Train
- Jaime Huerta-Cepas
- Adrian M. Altenhoff
- Mayank Bawa
- Matteo Pellegrini
- Huaiyu Mi
- Hans-Werner Mewes
- Fabian Pedregosa
- François Serra
Who trusts David Moi overall
Papers from David Moi's perspective
Ordered by how strongly the researchers David Moi trusts endorse each paper. Same corpus, a different order for every researcher.
- The STRING database in 2017: quality-controlled protein–protein association networks, made broadly accessible
- The European Nucleotide Archive in 2019
- Gene Ontology: tool for the unification of biology
- Bgee: Integrating and Comparing Heterogeneous Transcriptome Data Among Species
- Assigning protein functions by comparative genome analysis: protein phylogenetic profiles.
- BioPortal: enhanced functionality via new Web services from the National Center for Biomedical Ontology to access and use ontologies in software applications
- The OMA orthology database in 2018: retrieving evolutionary relationships among all domains of life through richer web and programmatic interfaces
- Leveraging Logical Rules for Efficacious Representation of Large Orthology Datasets
- Enabling semantic queries across federated bioinformatics databases
- Suffix arrays: a new method for on-line string searches
Their papers
- Targeting the ANG2/TIE2 axis inhibits tumor growth and metastasis by impairing angiogenesis and disabling rebounds of proangiogenic myeloid cells. (2011) — 633 citations
- OMA orthology in 2021: website overhaul, conserved isoforms, ancestral gene order and more (2020) — 193 citations
- Scalable phylogenetic profiling using MinHash uncovers likely eukaryotic sexual reproduction genes (2019) — 29 citations