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Software . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
ZENODO
Software . 2026
License: CC BY
Data sources: Datacite
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SeqQuests: Missed Protein Annotations

Authors: Crook, James;

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.

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Keywords

protein annotation, sequence analysis, UniProt, bioinformatics

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average