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Prediction and identification of Arabidopsis thaliana microRNAs and their mRNA targets.

Genome biology | 2004

A class of eukaryotic non-coding RNAs termed microRNAs (miRNAs) interact with target mRNAs by sequence complementarity to regulate their expression. The low abundance of some miRNAs and their time- and tissue-specific expression patterns make experimental miRNA identification difficult. We present here a computational method for genome-wide prediction of Arabidopsis thaliana microRNAs and their target mRNAs. This method uses characteristic features of known plant miRNAs as criteria to search for miRNAs conserved between Arabidopsis and Oryza sativa. Extensive sequence complementarity between miRNAs and their target mRNAs is used to predict miRNA-regulated Arabidopsis transcripts.

Pubmed ID: 15345049 RIS Download

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Associated grants

  • Agency: NIGMS NIH HHS, United States
    Id: R56 GM044640
  • Agency: NIGMS NIH HHS, United States
    Id: GM 44640
  • Agency: NIGMS NIH HHS, United States
    Id: R01 GM044640
  • Agency: NIGMS NIH HHS, United States
    Id: P50 GM062529
  • Agency: NIGMS NIH HHS, United States
    Id: GM 62529

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Gene Ontology (tool)

RRID:SCR_002811

Computable knowledge regarding functions of genes and gene products. GO resources include biomedical ontologies that cover molecular domains of all life forms as well as extensive compilations of gene product annotations to these ontologies that provide largely species-neutral, comprehensive statements about what gene products do. Used to standardize representation of gene and gene product attributes across species and databases.

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TAIR (tool)

RRID:SCR_004618

Database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana. Data available includes the complete genome sequence along with gene structure, gene product information, metabolism, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every two weeks from the latest published research literature and community data submissions. Gene structures are updated 1-2 times per year using computational and manual methods as well as community submissions of new and updated genes. TAIR also provides extensive linkouts from data pages to other Arabidopsis resources. The data can be searched, viewed and analyzed. Datasets can also be downloaded. Pages on news, job postings, conference announcements, Arabidopsis lab protocols, and useful links are provided.

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Pompep (tool)

RRID:SCR_010536

FTP site to access Schizosaccharomyces pombe protein data.

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