NIAS Rice Project
Ontology highlight
ABSTRACT:
ORGANISM(S): Oryza sativa Triticum aestivum Zea mays Bromus inermis Hordeum vulgare Matthiola incana Bromus secalinus
PROVIDER: GSE1532 | GEO | 2009/08/13
SECONDARY ACCESSION(S): PRJNA90853
REPOSITORIES: GEO
Similar Datasets
Project description:[to be updated] Keywords: other
2009-08-13 | E-GEOD-1532 | biostudies-arrayexpress
Project description:The mission of expO is to build on the technologies and outcomes of the Human Genome Project to accelerate improved clinical management of cancer patients. IGC's Expression Project for Oncology (expO) seeks to integrate longitudinal clinical annotation with gene expression data for a unique and powerful portrait of human malignancies, providing critical perspective on diagnostic markers, prognostic indicators, and therapeutic targets. The goal of expO and its consortium supporters is to procure tissue samples under standard conditions and perform gene expression analyses on a clinically annotated set of deidentified tumor samples. The tumor data is updated with clinical outcomes and is released into the public domain without intellectual property restriction. Series-matrices are available at ftp://ftp.ncbi.nlm.nih.gov/pub/geo/DATA/SeriesMatrix/GSE2109/. For more information, see http://www.intgen.org/ Keywords: cancer portraits
2005-01-15 | GSE2109 | GEO
Project description:The mission of expO is to build on the technologies and outcomes of the Human Genome Project to accelerate improved clinical management of cancer patients. IGC's Expression Project for Oncology (expO) seeks to integrate longitudinal clinical annotation with gene expression data for a unique and powerful portrait of human malignancies, providing critical perspective on diagnostic markers, prognostic indicators, and therapeutic targets. The goal of expO and its consortium supporters is to procure tissue samples under standard conditions and perform gene expression analyses on a clinically annotated set of deidentified tumor samples. The tumor data is updated with clinical outcomes and is released into the public domain without intellectual property restriction. Series-matrices are available at ftp://ftp.ncbi.nlm.nih.gov/pub/geo/DATA/SeriesMatrix/GSE2109/. For more information, see http://www.intgen.org/ Keywords: cancer portraits
2005-01-15 | E-GEOD-2109 | biostudies-arrayexpress
Project description:BackgroundRice, Oryza sativa L., is the staple food for half the world's population. By 2030, the production of rice must increase by at least 25% in order to keep up with global population growth and demand. Accelerated genetic gains in rice improvement are needed to mitigate the effects of climate change and loss of arable land, as well as to ensure a stable global food supply.FindingsWe resequenced a core collection of 3,000 rice accessions from 89 countries. All 3,000 genomes had an average sequencing depth of 14×, with average genome coverages and mapping rates of 94.0% and 92.5%, respectively. From our sequencing efforts, approximately 18.9 million single nucleotide polymorphisms (SNPs) in rice were discovered when aligned to the reference genome of the temperate japonica variety, Nipponbare. Phylogenetic analyses based on SNP data confirmed differentiation of the O. sativa gene pool into 5 varietal groups - indica, aus/boro, basmati/sadri, tropical japonica and temperate japonica.ConclusionsHere, we report an international resequencing effort of 3,000 rice genomes. This data serves as a foundation for large-scale discovery of novel alleles for important rice phenotypes using various bioinformatics and/or genetic approaches. It also serves to understand the genomic diversity within O. sativa at a higher level of detail. With the release of the sequencing data, the project calls for the global rice community to take advantage of this data as a foundation for establishing a global, public rice genetic/genomic database and information platform for advancing rice breeding technology for future rice improvement.
| S-EPMC4035669 | biostudies-literature
Project description:Thus, our observations suggested an intriguing possibility that OsCERK1 functions as the receptor of the mycorrhizal signal Myc-LCOs, although the function of Myc-LCOs has been examined only in dicotyledonous plants. To test this hypothesis, we evaluated Myc-LCO responses in rice by transcriptome analysis using next-generation sequencing.
2015-02-26 | E-MTAB-4050 | biostudies-arrayexpress
Project description:The Rice Annotation Project Database (RAP-DB, http://rapdb.dna.affrc.go.jp/) has been providing a comprehensive set of gene annotations for the genome sequence of rice, Oryza sativa (japonica group) cv. Nipponbare. Since the first release in 2005, RAP-DB has been updated several times along with the genome assembly updates. Here, we present our newest RAP-DB based on the latest genome assembly, Os-Nipponbare-Reference-IRGSP-1.0 (IRGSP-1.0), which was released in 2011. We detected 37,869 loci by mapping transcript and protein sequences of 150 monocot species. To provide plant researchers with highly reliable and up to date rice gene annotations, we have been incorporating literature-based manually curated data, and 1,626 loci currently incorporate literature-based annotation data, including commonly used gene names or gene symbols. Transcriptional activities are shown at the nucleotide level by mapping RNA-Seq reads derived from 27 samples. We also mapped the Illumina reads of a Japanese leading japonica cultivar, Koshihikari, and a Chinese indica cultivar, Guangluai-4, to the genome and show alignments together with the single nucleotide polymorphisms (SNPs) and gene functional annotations through a newly developed browser, Short-Read Assembly Browser (S-RAB). We have developed two satellite databases, Plant Gene Family Database (PGFD) and Integrative Database of Cereal Gene Phylogeny (IDCGP), which display gene family and homologous gene relationships among diverse plant species. RAP-DB and the satellite databases offer simple and user-friendly web interfaces, enabling plant and genome researchers to access the data easily and facilitating a broad range of plant research topics.
| S-EPMC3583025 | biostudies-literature
Project description:The Rice Annotation Project Database (RAP-DB) was created to provide the genome sequence assembly of the International Rice Genome Sequencing Project (IRGSP), manually curated annotation of the sequence, and other genomics information that could be useful for comprehensive understanding of the rice biology. Since the last publication of the RAP-DB, the IRGSP genome has been revised and reassembled. In addition, a large number of rice-expressed sequence tags have been released, and functional genomics resources have been produced worldwide. Thus, we have thoroughly updated our genome annotation by manual curation of all the functional descriptions of rice genes. The latest version of the RAP-DB contains a variety of annotation data as follows: clone positions, structures and functions of 31 439 genes validated by cDNAs, RNA genes detected by massively parallel signature sequencing (MPSS) technology and sequence similarity, flanking sequences of mutant lines, transposable elements, etc. Other annotation data such as Gnomon can be displayed along with those of RAP for comparison. We have also developed a new keyword search system to allow the user to access useful information. The RAP-DB is available at: http://rapdb.dna.affrc.go.jp/ and http://rapdb.lab.nig.ac.jp/.
| S-EPMC2238920 | biostudies-literature
Project description:Muscimol i.p. injection 6 hour treatment August female fish 2-3 years of age Keywords: single pharmacoligical injection of GABA agonist muscimol; effects in neuroendocrine brain
2006-09-09 | GSE5768 | GEO
Project description:MPSS mouse transcriptome analysis project. See http://www.ncbi.nlm.nih.gov/geo/info/mouse-trans.html for more details. Keywords: other
2004-10-26 | GSE1581 | GEO