SeqQuests: Missed Protein Annotations
Abstract
Protein sequence relationships identified using a fast Smith-Waterman algorithm combined with maximum-scoring spanning trees to reveal links between sequence clusters. These connections appear to have been missed by standard annotation pipelines. The dataset includes proposed Swiss-Prot annotation updates.
Fields of Study & Subjects
Genomics and Phylogenetic Studies
Machine Learning in Bioinformatics
Bioinformatics and Genomic Networks
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 11 January 2026