Notice bibliographique
Résumé
At the next World Congress, Vancouver 2014, complete genomes will be as popular as SNP microarrays were at the Leipzig venue. Simply consider that the human 1000 genomes main paper has just been submitted and that the pace of improvement in sequencing has not reached a plateau yet. There is no discussion on whether this is sensible in all situations. It will just happen. Therefore, it is worth noting that the main tools breeders will need to fully benefit from the sequence data were present in the plenary genomics talks, even if sometimes disguised – I am referring to mixed models, systems biology and coalescence for Peter Visscher’s, Trudy Mackay’s and Kristian Andersen’s talks, respectively. A synthetic theory that combines all three might have as much impact in biology as the unified theory had in particle physics during the last century. Visscher’s contribution was centred in the discrepancy between estimated pedigree heritability and the amount of variance explained by loci identified in genome-wide association studies. Perhaps not unsurprisingly, power and SNP ascertainment may explain the difference between pedigree and SNP-based results. Mackay presented ongoing work where several inbred drosophila lines have been sequenced to completion and phenotyped for dozens of remarkable traits, ranging from longevity to many behavioural components. Despite the muscle shown, it is a pity that the analyses seemed incomplete, but we should soon see important papers coming out of the effort. The lecture by Andersen reminded me at times of a school lesson to uninitiated disbelievers. Nevertheless, it bore important points of which a typical animal breeder is usually unaware. The main one is that selection bends the black box: there is no perfect crime and the culprit leaves a footprint in the pattern of nucleotide variability. The problem, mentioned in the talk, is that the murderer can be quite intelligent and – as in CSI – hide the action among multiple false clues and escape. The rest of the meeting was spent placidly, either you chose to stay in a single room and arrived soon enough, or multivariately/hectily if you made transitions between rooms. I prefer to call them transversions. Overall, on the non-selection genomics side, I would have expected more results from large-scale genotyping studies and more variety of papers dealing with population genetics topics. A bit too soon? Lack of WCGALP appeal? If the latter were true, it would be a real pity because genes do exist and do matter, even if they do not always need to be identified. I would like to finish by citing the paper by Hill et al. (2008, Plos Genet4: e1000008). It had nine citations at the time of writing so let us make it a ten now.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».