TIdeS: A Comprehensive Framework for Accurate Open Reading Frame Identification and Classification in Eukaryotic Transcriptomes
Xyrus X Maurer-Alcalá, Eunsoo Kim · 2024
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Description
Xyrus X Maurer-Alcalá and Eunsoo Kim present a 2024 journal article on TIdeS, a tool for finding true gene reading frames in transcriptomes. Samples from uncultured eukaryotes often carry contamination and mixed species, which breaks standard prediction tools. TIdeS was built to predict reading frames and sort real from foreign ones in a single stop.
Tested on transcriptomes from 32 taxa across the eukaryote tree, the tool beat the standard rival, finding more complete, in-frame sequences. It classified sequences well even under heavy contamination and from tiny inputs. The authors pitch it for family tree studies, host-symbiont work, and clean dataset building.
Catalog record
| CREATOR | Xyrus X Maurer-Alcalá, Eunsoo Kim |
|---|---|
| YEAR | 2024 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 67 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |