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Unlocking the secrets of the genome

2009· article· en· 817 citations· W2150904790 on OpenAlex· 10.1038/459927a

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Abstract

Despite the successes of genomics, little is known about how genetic information produces complex organisms. A look at the crucial functional elements of fly and worm genomes could change that. The National Human Genome Research Institute's modENCODE project (the model organism ENCyclopedia Of DNA Elements) was set up in 2007 with the goal of identifying all the sequence-based functional elements in the genomes of two important experimental organisms, Caenorhabditis elegans and Drosophila melanogaster. Armed with modENCODE data, geneticists will be able to undertake the comprehensive molecular studies of regulatory networks that hold the key to how complex multicellular organisms arise from the list of instructions coded in the genome. In this issue, modENCODE team members outline their plan of campaign. Data from the project are to be made available on http://www.modencode.org and elsewhere as the work progresses.

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.

The record

Venue
Nature
Topic
Genetics, Aging, and Longevity in Model Organisms
Field
Biochemistry, Genetics and Molecular Biology
Canadian institutions
Funders
Lawrence Berkeley National LaboratoryNational Institute of General Medical SciencesNational Human Genome Research InstituteComputer Science and Artificial Intelligence Laboratory, Massachusetts Institute of TechnologyYork UniversityArgonne National LaboratoryUniversity of North Carolina at Chapel HillBroad InstituteMassachusetts Institute of TechnologyUniversity of WashingtonHarvard UniversityNational Institutes of HealthYale University
Keywords
Caenorhabditis elegansGenomeMulticellular organismOrganismModel organismBiologyGenomicsDrosophila melanogasterEncyclopediaComputational biologyKey (lock)Plan (archaeology)Data scienceEvolutionary biologyGeneticsComputer scienceEcologyGeneLibrary science
Has abstract in OpenAlex
yes