Self-Ligation-Free Next Generation Sequencing Adapters Applied to Methylation Assay
Bibliographic record
Abstract
In developing a bisulfite-free methylation assay with the use of restriction enzymes, self-ligation of next generation sequencing adapters (NGS-adapter) is a technological bottleneck to be overcome. In the experiments of this study, a variety of strategies designed to limit or abolish adapter’s self-ligation has been tested. Experimental data have showed that the three strategies tested can either substantially decrease or completely abolish the self-ligation of NGS-adapters. Minimization or elimination of NGS-adapter’s self-ligation is of importance in increasing the sensitivity, efficiency, and reproducibility of enzyme-mediated methylation assay. The strategies reported in the present study may find applications in some other nanotechnologies. In combination with nanotechnologies, either drop-digit PCR or microarray-based sequencing, the methylation-dependent endonuclease mediated methylation assays will facilitate applications of methylation analysis in both fundamental research and clinical epigenetic studies, particularly in early diagnosis of cancer.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".