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Record W2084191969 · doi:10.1126/science.1198374

Identification of Functional Elements and Regulatory Circuits by <i>Drosophila</i> modENCODE

2010· article· en· W2084191969 on OpenAlexaff
Sushmita Roy, Jason Ernst, Peter V. Kharchenko, Pouya Kheradpour, Nicolas Nègre, Matthew L. Eaton, Jane M. Landolin, Christopher A. Bristow, Lijia Ma, Michael F. Lin, Stefan Washietl, Bradley I. Arshinoff, Ferhat Ay, Patrick Meyer, Nicolas Robine, Nicole Washington, Luisa Di Stefano, Eugène Berezikov, Christopher D. Brown, Rogerio Candeias, Joseph W. Carlson, Adrian R. Carr, Irwin Jungreis, Daniel Marbach, Rachel Sealfon, Michael Tolstorukov, Sebastian Will, Artyom A. Alekseyenko, Carlo G. Artieri, Benjamin W. Booth, Angela N. Brooks, Qi Dai, Carrie Davis, Michael O. Duff, Xin Feng, Andrey A. Gorchakov, Tingting Gu, Jorja G. Henikoff, Philipp Kapranov, Renhua Li, Heather K. MacAlpine, John H. Malone, Aki Minoda, Jared T. Nordman, Katsutomo Okamura, Marc D. Perry, Sara Powell, Nicole C. Riddle, A. Sakai, Anastasia Samsonova, Jeremy E. Sandler, Yuri B. Schwartz, Noa Sher, Rebecca Spokony, David Sturgill, Marijke van Baren, Kenneth H. Wan, Li Yang, Charles Yu, Elise A. Feingold, Peter J. Good, Mark S. Guyer, Rebecca F. Lowdon, Kami Ahmad, Justen Andrews, Bonnie Berger, Steven E. Brenner, Michael R. Brent, Lucy Cherbas, Sarah C. R. Elgin, T Gingeras, Robert L. Grossman, Roger A. Hoskins, Thomas C. Kaufman, W. James Kent, Mitzi I. Kuroda, Terry L. Orr‐Weaver, Norbert Perrimon, Vincenzo Pirrotta, James W. Posakony, Bing Ren, Steven Russell, Peter Cherbas, Brenton R. Graveley, Suzanna Lewis, Gos Micklem, Brian Oliver, Peter J. Park, S Celniker, Steven Henikoff, Gary H. Karpen, Eric C. Lai, David M. MacAlpine, Lincoln Stein, Kevin P. White, Manolis Kellis, Daniel Estrada Acevedo, Richard P. Auburn, Galt P Barber, Hugo J. Bellen, Eric Bishop, Terri D. Bryson, Aurélien Chateigner, Jia Chen, Hiram Clawson, Charles L.G. Comstock, Sergio Contrino, Leyna DeNapoli, Queying Ding, Alexander Dobin, Marc Domanus, Jörg Drenkow, Sandrine Dudoit, Jackie Dumais, Thomas Eng, Delphine Fagegaltier, Sarah Gadel, Srinka Ghosh, Francois Guillier, David A. Hanley, Gregory J. Hannon, Kasper D. Hansen, Elizabeth Heinz, Angie S. Hinrichs, Martin Hirst, Sonali Jha, Lichun Jiang, Youngsook L. Jung, Helena Kashevsky, Cameron Kennedy, Ellen Kephart, Laura Langton, Ok-Kyung Lee, Sharon Li, Zirong Li, Wei Lin, Daniela Linder-Basso, Paul Lloyd, Rachel Lyne, Sarah E. Marchetti, Marco A. Marra, Nicolas R. Mattiuzzo, Sheldon McKay, Folker Meyer, David M. Miller, Steven W. Miller, Richard A. Moore, Carolyn A. Morrison, Joseph A. Prinz, Michelle Rooks, Kim Rutherford, Peter Ruzanov, Douglas A. Scheftner, Lionel Senderowicz, Parantu K. Shah, Gregory Shanower, Richard Smith, Eo Stinson, Sarah Suchy, Aaron Tenney, Feng Tian, Koen J. T. Venken, Huaien Wang, Robert A. White, Jared Wilkening, Aarron Willingham, Chris Zaleski, Zheng Zha, Dayu Zhang, Yongjun Zhao, Jennifer Zieba

Bibliographic record

VenueScience · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsCanada Research ChairsOntario Institute for Cancer Research
FundersNational Institute of General Medical SciencesNational Institutes of HealthNational Human Genome Research InstituteHoward Hughes Medical Institute
KeywordsIdentification (biology)Drosophila (subgenus)Computational biologyElectronic circuitBiologyPhysicsGeneticsGeneEcologyQuantum mechanics

Abstract

fetched live from OpenAlex

To gain insight into how genomic information is translated into cellular and developmental programs, the Drosophila model organism Encyclopedia of DNA Elements (modENCODE) project is comprehensively mapping transcripts, histone modifications, chromosomal proteins, transcription factors, replication proteins and intermediates, and nucleosome properties across a developmental time course and in multiple cell lines. We have generated more than 700 data sets and discovered protein-coding, noncoding, RNA regulatory, replication, and chromatin elements, more than tripling the annotated portion of the Drosophila genome. Correlated activity patterns of these elements reveal a functional regulatory network, which predicts putative new functions for genes, reveals stage- and tissue-specific regulators, and enables gene-expression prediction. Our results provide a foundation for directed experimental and computational studies in Drosophila and related species and also a model for systematic data integration toward comprehensive genomic and functional annotation.

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 machine prediction

Teacher imitation

Not 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.025
GPT teacher head0.286
Teacher spread0.261 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1,306
Published2010
Admission routes1
Has abstractyes

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