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Genome sequence of the Brown Norway rat yields insights into mammalian evolution
Richard A. Gibbs, George M. Weinstock, Michael L. Metzker, Donna M. Muzny, Erica Sodergren, Steven E. Scherer, Graham Scott, David L. Steffen, Kim C. Worley, Paula E. Burch, Geoffrey Okwuonu, Sandra Hines, Lora Lewis, Christine DeRamo, Oliver Delgado, Shannon Dugan-Rocha, George Miner, Margaret Morgan, Alicia Hawes, Rachel Gill, Mark D. Adams, Peter G. Amanatides, Holly Baden-Tillson, Mary Barnstead, Soo Chin, Cheryl Evans, Steve Ferriera, Carl Fosler, Anna Glodek, Zhiping Gu, D. E. Jennings, Cheryl Kraft, Cynthia Pfannkoch, Cynthia D. Sitter, Granger Sutton, Trevor Woodage, Hongmei Lee, Erik Gustafson, Patrick Cahill, A. Kana, Lynn Doucette‐Stamm, Robert B. Weiss, Diane M. Dunn, Eric D. Green, Robert W. Blakesley, Gerard G. Bouffard, Pieter J. de Jong, Kazutoyo Osoegawa, Baoli Zhu, Marco A. Marra, Jacqueline E. Schein, Ian Bosdet, Christopher D. Fjell, Steven J.M. Jones, Martin Krzywinski, Carrie Mathewson, Asim Siddiqui, Natasja Wye, John D. McPherson, Shaying Zhao, Claire M. Fraser, Jyoti Shetty, S. Shatsman, Keita Geer, Yixin Chen, Sofyia Abramzon, William C. Nierman, Paul Havlak, Rui Chen, K. James Durbin, R. Simons, Yanru Ren, Xingzhi Song, Bingshan Li, Yue Liu, Xiang Qin, Simon Cawley, Austin J. Cooney, Lisa M. D'Souza, Kirt Martin, Jia Qian Wu, Manuel L. Gonzalez‐Garay, Andrew Jackson, Kenneth J. Kalafus, Michael P. McLeod, Aleksandar Milosavljevic, Davinder Virk, А. А. Волков, David A. Wheeler, Zhengdong D. Zhang, Jeffrey A. Bailey, Evan E. Eichler, Eray Tüzün, Ewan Birney, Emmanuel Mongin, Abel Ureta‐Vidal, Cara Woodwark, Evgeny M. Zdobnov, Peer Bork, Mikita Suyama, David Torrents, Marina Alexandersson, Barbara J. Trask, Janet M. Young, Hui Huang, Huajun Wang, Heming Xing, Sue Daniels, Darryl Gietzen, Jeanette P. Schmidt, Kristian Stevens, Ursula Vitt, Jim Wingrove, M. Mar Albà, Josep F. Abril, Roderic Guigó, Arian F. A. Smit, Inna Dubchak, Edward M. Rubin, Olivier Couronne, Alexander Poliakov, Norbert Hübner, Detlev Ganten, Claudia Goesele, Oliver Hummel, Thomas Kreitler, Young‐Ae Lee, Jan Monti, Herbert Schulz, Heike Zimdahl, Heinz Himmelbauer, Hans Lehrach, Howard J. Jacob, Susan K. Bromberg, Jo Gullings-Handley, Michael I. Jensen‐Seaman, Anne E. Kwitek, Jozef Lazar, Dean Pasko, Peter J. Tonellato, Simon Twigger, Chris P. Ponting, José M. Duarte, Stephen Rice, Leo Goodstadt, Scott A. Beatson, Richard D. Emes, Eitan Winter, Caleb Webber, Petra Brandt, Gerald Nyakatura, Margaret Adetobi, Francesca Chiaromonte, Laura Elnitski, Pallavi Eswara, Ross C. Hardison, Minmei Hou, Diana L. Kolbe, Kateryna D. Makova, Webb Miller, Anton Nekrutenko, Cathy Riemer, Scott Schwartz, James G. Taylor, Shan Yang, Yi Zhang, Klaus Lindpaintner, T. Daniel Andrews, Mario Cáccamo, Michèle Clamp, Laura Clarke, Richard Durbin, Eduardo Eyras, Stephen M. J. Searle, Gregory M. Cooper, Serafim Batzoglou, Michael Brudno, Arend Sidow, Eric A. Stone, Bret A. Payseur, Guillaume Bourque, Carlos López-Otı́n, Xosé S. Puente, Kushal Chakrabarti, Sourav Chatterji, Colin N. Dewey, Lior Pachter, Nicolas Bray, Von Bing Yap, Anat Caspi, Glenn Tesler, Pavel A. Pevzner, D. Haussler, Krishna M. Roskin, Robert Baertsch, Hiram Clawson, Terrence S. Furey, Angie S. Hinrichs, Donna Karolchik, W. James Kent, Kate R. Rosenbloom, Heather Trumbower, Matt Weirauch, D.N. Cooper, Peter D. Stenson, Bin Ma, Michael R. Brent, Manimozhiyan Arumugam, David Shteynberg, Richard R. Copley, Martin S. Taylor, Harold Riethman, Uma Mudunuri, Jane L. Peterson, Mark Guyer, Adam L. Felsenfeld, Susan Old, Stephen Mockrin, Francis S. Collins
Bibliographic record
VenueNature · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Mapping and Diversity in Plants and Animals
Canadian institutionsWestern UniversityUniversité de MontréalCanada's Michael Smith Genome Sciences Centre
FundersNational Heart, Lung, and Blood InstituteNational Institute on Deafness and Other Communication DisordersBC Cancer AgencyNational Institutes of HealthUniversidad de OviedoMinisterio de Ciencia y TecnologíaNational Institute of General Medical SciencesCanada's Michael Smith Genome Sciences CentreBundesministerium für Bildung und ForschungEuropean CommissionGobierno del Principado de AsturiasPennsylvania State UniversityUniversity of PennsylvaniaNational Human Genome Research InstituteW. M. Keck Foundation
KeywordsSequence (biology)GenomeEvolutionary biologyBiologyEvolution of mammalsGeneticsComputational biologyGene
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
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.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.015
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 head0.007
GPT teacher head0.216
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation status
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.
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
Citations2,208
Published2004
Admission routes2
Has abstractno