Clustered Sequence Representation for Fast Homology Search

By M. Cameron, Yaniv Bernstein, H. E. Williams. 2007

29 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Molecular Biology

1. Hongzhan Huang
2. Cathy H. Wu
3. Yuqi Wang
4. Baris E. Suzek
5. Peter B. McGarvey
6. Maria Jesus Martin
7. Burkhard Rost
8. UniProt Consortium

Citations in the corpus

• UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches (2014, background): “…of metagenomics data (Foerstner et al., 2008; Wommack et al., 2012), developing large-scale hierarchical clustering algorithms (Loewenstein et al., 2008), studying gene duplication (Rivera et al., 2010) and conducting genomic studies of peptide and oligonucleotide frequencies (Capone et al., 2010).”
• Minimizing proteome redundancy in the UniProt Knowledgebase (2016, background): “These include SkipRedundant (10), Decrease Redundancy (11), Pisces (12), UniqueProt (13), CD-HIT (14), FSA-BLAST (15), BlastClust (ftp://ftp.ncbi.nih.gov/ blast/documents/blastclust.html), MinSet (16), BlastCuller (17), FastCluster (18), Leaf (6), UCLUST (19) and Compressive genomics (20).”