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Record W1674711333 · doi:10.1002/0471250953.bi0610s27

Using OrthoCluster for the Detection of Synteny Blocks Among Multiple Genomes

2009· article· en· W1674711333 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCurrent Protocols in Bioinformatics · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsSyntenyGenomeComputational biologyGeneBiologyUploadIdentification (biology)Computer scienceGeneticsEvolutionary biologyWorld Wide WebEcology

Abstract

fetched live from OpenAlex

Synteny blocks are composed of two or more orthologous genes conserved among species, resulting from speciation from their last common ancestor. OrthoCluster (Zeng et al., 2008) is a fast and easy-to-use program for the identification of synteny blocks among multiple genomes. It allows users to identify synteny blocks that contain different types of mismatches, and to decide whether they require conservation of gene orientation and conservation of gene order within the blocks. OrthoCluster can also be used to find duplicated blocks within genomes. Although genes and their correspondence are usually used as input for OrthoCluster, in fact, OrthoCluster can be applied using any type of markers as input as long as their relationships can be established. OrthoClusterDB provides a Web interface for running OrthoCluster with user-defined datasets and parameters, as well as for browsing and downloading precomputed synteny blocks for different groups of genomes.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.493
Threshold uncertainty score0.370

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.328
Teacher spread0.276 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it