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Setaria italica

ABSTRACT: leaf prof. zhangbin

PROVIDER: PRJNA1064025 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	SRR27544907_1.fastq.gz	Fastqsanger.gz
	SRR27544907_2.fastq.gz	Fastqsanger.gz
	SRR27544908_1.fastq.gz	Fastqsanger.gz
	SRR27544908_2.fastq.gz	Fastqsanger.gz
	SRR27544909_1.fastq.gz	Fastqsanger.gz

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Transcriptome sequencing of Foxtail millet Setaria italica for different tissues

Project description:Transcriptome sequencing of Foxtail millet Setaria italica (Zhang-gu) for different tissues. Four RNA pools were created corresponding to four different tissues: root, leaf, stem, spica (tassel) at developmental stage, then each pool was sequenced.

2012-03-31 | E-GEOD-36391 | biostudies-arrayexpress

MDSi: Multi-omics Database for Setaria italica.

Project description:BackgroundFoxtail millet (Setaria italica) harbors the small diploid genome (~ 450 Mb) and shows the high inbreeding rate and close relationship to several major foods, feed, fuel and bioenergy grasses. Previously, we created a mini foxtail millet, xiaomi, with an Arabidopsis-like life cycle. The de novo assembled genome data with high-quality and an efficient Agrobacterium-mediated genetic transformation system made xiaomi an ideal C4 model system. The mini foxtail millet has been widely shared in the research community and as a result there is a growing need for a user-friendly portal and intuitive interface to perform exploratory analysis of the data.ResultsHere, we built a Multi-omics Database for Setaria italica (MDSi, http://sky.sxau.edu.cn/MDSi.htm ), that contains xiaomi genome of 161,844 annotations, 34,436 protein-coding genes and their expression information in 29 different tissues of xiaomi (6) and JG21 (23) samples that can be showed as an Electronic Fluorescent Pictograph (xEFP) in-situ. Moreover, the whole-genome resequencing (WGS) data of 398 germplasms, including 360 foxtail millets and 38 green foxtails and the corresponding metabolic data were available in MDSi. The SNPs and Indels of these germplasms were called in advance and can be searched and compared in an interactive manner. Common tools including BLAST, GBrowse, JBrowse, map viewer, and data downloads were implemented in MDSi.ConclusionThe MDSi constructed in this study integrated and visualized data from three levels of genomics, transcriptomics and metabolomics, and also provides information on the variation of hundreds of germplasm resources that can satisfies the mainstream requirements and supports the corresponding research community.

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