GExplore 1.4: An expanded web interface for queries on<i>Caenorhabditis elegans</i>protein and gene function
Bibliographic record
Abstract
Genetic high-throughput experiments often result in hundreds or thousands of genes satisfying certain experimental conditions. Grouping and prioritizing a large number of genes for further analysis can be a time-consuming challenge. In 2009 we developed a web-based user interface, GExplore, to assist with large-scale data-mining related to gene function in Caenorhabditis elegans. The underlying database contained information about Caenorhabditis elegans genes and proteins including domain organization of the proteins, phenotypic descriptions, expression data and Gene Ontology Consortium annotations. These data enable users to quickly obtain an overview of biological and biochemical functions of a large number of genes at once. Since its inception the underlying database has been updated and expanded significantly. Here we describe the current version of GExplore 1.4, documenting the changes since the original release. GExplore 1.4 now contains information about the domain organization of the proteomes of 9 nematode species, can display the location of Caenorhabditis elegans mutations with respect to the domain organization of the proteins, and includes stage-specific RNAseq gene expression data generated by the modENCODE project. The underlying database has been reorganized to facilitate independent updates of the different parts of the database and to allow the addition of novel data sets in the future. The web interface is available under http://genome.sfu.ca/gexplore.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.004 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.184 | 0.110 |
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".