MétaCan
Menu
Back to cohort
Record W2102827673 · doi:10.1093/nar/gki380

Assembly PCR oligo maker: a tool for designing oligodeoxynucleotides for constructing long DNA molecules for RNA production

2005· article· en· W2102827673 on OpenAlexafffund
R. Rydzanicz, Xin Zhao, Philip E. Johnson

Bibliographic record

VenueNucleic Acids Research · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsYork University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyDNARNAT7 RNA polymeraseComputational biologyMolecular biologyCombinatorial chemistryGeneticsGeneChemistryBacteriophage

Abstract

fetched live from OpenAlex

We describe a computer program, Assembly PCR Oligo Maker, created to automate the design of oligodeoxynucleotides for the PCR-based construction of long DNA molecules. This program is freely available at http://publish.yorku.ca/~pjohnson/AssemblyPCRoligomaker.html and has been specifically designed to aid in the construction of DNA molecules that are to be used for the production of RNA molecules by in vitro synthesis with T7 RNA polymerase. The input for Assembly PCR Oligo Maker is either the desired DNA sequence to be made or an RNA sequence. If RNA is the input, the program first determines the DNA sequence necessary to produce the desired RNA molecule. The program then determines the sequences of all the oligodeoxynucleotides necessary for a two-step assembly PCR-based synthesis of the desired DNA molecule. The oligodeoxynucleotide sequences outputted are designed to have a uniform melt temperature and are checked for regions of overlap outside of the desired priming regions necessary for the PCR reaction. The validity of the program was verified experimentally by synthesizing a 191-nt long DNA molecule using the DNA sequences suggested by the program.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.103
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.048
GPT teacher head0.334
Teacher spread0.286 · 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.

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

Citations90
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueNucleic Acids ResearchSame topicRNA and protein synthesis mechanismsFrench-language works237,207