101 Teaching Next-Generation Sequencing Analysis to the Next Generation of Genetics Technologists—The Effective Delivery of a Hands-On Analysis Workshop
Bibliographic record
Abstract
The latest competency profile for students enrolled in Canadian Medical Association-accredited clinical genetics technology programs, effective 2015, include the understanding of next-generation sequencing (NGS) technology. NGS is a form of massively parallel sequencing, and the implementation of NGS has advanced rapidly in clinical genetics. Many health care institutions have introduced NGS workflows to deliver multi-gene test results. This has created a need to teach technical and analytical components to student technologists as they embark on a career where demand for NGS testing will substantially increase. The Advanced Molecular Diagnostics Laboratory (AMDL) located in the Princess Margaret Cancer Centre designed a half-day workshop on NGS analysis for genetics technology students at the Michener Institute, which offers one of two accredited clinical genetics programs in Canada. The application of NGS testing has become multidisciplinary; technologists have had to adapt to working with bioinformaticians and variant annotation specialists, and learn a multitude of laboratory skills in between. Program instructors at the Michener Institute decided to showcase the evolving role of genetics technologists by inviting AMDL to deliver a workshop focused on (1) data generation from the sequencer, (2) the use of genetic software, and (3) the basic understanding of variant detection and clinical implications. The workshop concluded with provision of examples for students to practice variant calling, reflecting real case scenarios from technologists’ perspective. This is the second year AMDL presented to students; feedback confirmed strong interest in gaining practical exposure to NGS applications, and identified needed improvements to bridge gaps between teaching the use of advanced software and manual sequencing analysis. Student evaluations further reflect usefulness in reviewing NGS data types, but equal interest to learn fundamentals of variant interpretation. The overall reception supports a prerequisite for new technologists to embrace clinical NGS.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.006 | 0.013 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.054 | 0.032 |
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".