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TIGRdisco: a tool for the discovery of TIGR arrays and TIGR-associated Tas proteins from nucleotide sequences
bioRxiv · · Preprint · Open access
Gu, Gong + 1 more
Abstract ↗AI summary
The abstract is read at the publisher; the summary is JClub's.
TIGRdisco recovers more than 80% of TIGR array units within its search window when discovering TIGR-Tas loci directly from unannotated nucleotide sequences.
- Why it matters: Detecting TIGR-Tas loci is difficult because the two TIGR array architectures rely on extremely short box motifs rather than the longer repeat-and-spacer patterns used by CRISPR arrays.
- What they did: The tool uses independent, motif-agnostic engines to detect dual-repeat and stem-loop TIGR architectures, then benchmarks performance on a reference TIGR-Tas loci dataset.
- The result: It also recovers arrays in Tas clades where associated arrays were unannotated in the reference, and enables discovery of TIGR-Tas loci across metagenomic and genomic datasets.
The findingWhy it mattersWhat they didThe result
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