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Record W3217743853 · doi:10.46471/gigabyte.34

De novo chromosome-length assembly of the mule deer (Odocoileus hemionus) genome

2021· article· en· W3217743853 on OpenAlexaboutno aff
Sydney Lamb, Adam Taylor, Tabitha A. Hughes, Brock R. McMillan, Randy T. Larsen, Ruqayya Khan, David Weisz, Olga Dudchenko, Erez Lieberman Aiden, Nathaniel B. Edelman, Paul B. Frandsen

Bibliographic record

VenueGigabyte · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Phylogenetic Studies
Canadian institutionsnot available
FundersNational Human Genome Research InstituteBrigham Young UniversityWelch FoundationU.S. Department of AgricultureInternational Business Machines CorporationNational Institutes of HealthUtah Division of Wildlife ResourcesNational Science Foundation
KeywordsOdocoileusBiologyPopulationCoalescent theoryGenomeUngulateSequence assemblyEvolutionary biologyEffective population sizePopulation genomicsGenomicsEcologyHabitatGeneticsPhylogeneticsGeneGenetic variation

Abstract

fetched live from OpenAlex

) is an ungulate species that is distributed in a range from western Canada to central Mexico. Mule deer are an essential source of food for many predators, are relatively abundant, and commonly make broad migration movements. A clearer understanding of the mule deer genome can improve our knowledge of its population genetics, movements, and demographic history, aiding in conservation efforts. Their large population size, continuous distribution, and diversity of habitat make mule deer excellent candidates for population genomics studies; however, few genomic resources are currently available for this species. Here, we sequence and assemble the mule deer genome into a highly contiguous chromosome-length assembly for use in future research using long-read sequencing and Hi-C technologies. We also provide a genome annotation and compare demographic histories of the mule deer and white-tailed deer using the pairwise sequentially Markovian coalescent model. We expect this assembly to be a valuable resource in the continued study and conservation of mule deer.

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 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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.421

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 head0.009
GPT teacher head0.222
Teacher spread0.213 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2021
Admission routes1
Has abstractyes

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