ATAC-Seq Data for Genome-Wide Profiling of Transcription Factor Binding Sites in the Rice False Smut Fungus <i>Ustilaginoidea virens</i>
Bibliographic record
Abstract
Identification of transcription factor binding sites is one of the most important steps in understanding the function of transcription factors and regulatory networks in organisms. The assay for transposase accessible chromatin sequencing (ATAC-seq) is a simple protocol for detection of open chromatin that could be a powerful tool to advance studies of protein-DNA interactions. Although ATAC-seq has been used in systematic identification of cis-regulatory regions in animal and plant genomes, this method has been rarely applied in fungi. Here, we describe a valuable ATAC-seq resource in the genome of an economically important phytopathogen, the rice false smut fungus Ustilaginoidea virens. The ATAC-seq data of U. virens mycelia collected from potato sucrose broth (PSB) and PSB supplied with rice spikelet extract were both generated. This is the first genome-wide profiling of open chromatin and transcription factor binding sites in U. virens. [Formula: see text] Copyright © 2021 The Author(s). This is an open access article distributed under the CC BY-NC-ND 4.0 International license .
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".