P224-M Management Systems and Storage of Laboratory Information at Laval University Hospital Research Center Genomic Sequencing and Genotyping Platform
Bibliographic record
Abstract
Between November 2005 and October 2006, a total of 106 academic and corporate researchers requested the services of the CRCHUL Genomic Sequencing and Genotyping Platform. All procedures are performed by only one manager and two research assistants. During this one-year period, we sequenced 205,000 DNA samples using only one ABI 3730xl DNA analyzer. We also genotyped 8200 samples using one ABI 3100 sequencer. The maximum delivery time was 48 h for all projects of less than 384 samples. These samples comprised 80% of all our orders. The management and integration of all these samples were conducted on a computer system that we developed in house. This laboratory information management system has significantly reduced processing and analysis time and concurrently increased production capacity. All data are stored on our Oracle 10G database installed on a UNIX server, which is connected to an interface application server module to increase security. The Web interfaces were developed in PL/SQL, which facilitates quick consultations, additions, and modifications. Our customers can thus easily submit their samples at www.sequences.crchul.ulaval.ca. All laboratory procedures are tracked and managed by two research assistants through our laboratory information management system (LIMS). This LIMS also allows the customers to follow the progress of their samples on line. Once the sequencing process is completed, all samples are analyzed by our personnel, a descriptive note is added to every sample, and an electronic notification is sent to the customer. Results are retrieved from our database by downloading a compressed file. Production of monthly financial statements is incorporated into our computer system, reducing administrative time and expenses with respect to management. In the near future, we will be integrating our most recent SNP genotyping service using the Sequenom MassArray into our information management system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".