BacMap: an up-to-date electronic atlas of annotated bacterial genomes
Bibliographic record
Abstract
Originally released in 2005, BacMap is an electronic, interactive atlas of fully sequenced bacterial genomes. It contains fully labeled, zoomable and searchable chromosome maps for essentially all sequenced prokaryotic (archaebacterial and eubacterial) species. Each map can be zoomed to the level of individual genes and each gene is hyperlinked to a richly annotated gene card. The latest release of BacMap (http://bacmap.wishartlab.com/) now contains data for more than 1700 bacterial species (~10× more than the 2005 release), corresponding to more than 2800 chromosome and plasmid maps. All bacterial genome maps are now supplemented with separate prophage genome maps as well as separate tRNA and rRNA maps. Each bacterial chromosome entry in BacMap also contains graphs and tables on a variety of gene and protein statistics. Likewise, every bacterial species entry contains a bacterial 'biography' card, with taxonomic details, phenotypic details, textual descriptions and images (when available). Improved data browsing and searching tools have also been added to allow more facile filtering, sorting and display of the chromosome maps and their contents.
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 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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.016 | 0.025 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.058 | 0.057 |
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".