Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Brassica rapa var. parachinensis

ABSTRACT: Brassica rapa var. parachinensis Raw sequence reads of RNA-seq

PROVIDER: PRJNA327779 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR3744810_1.fastq.gz	Fastqsanger.gz
	SRR3744810_2.fastq.gz	Fastqsanger.gz
	SRR3744811_1.fastq.gz	Fastqsanger.gz
	SRR3744811_2.fastq.gz	Fastqsanger.gz
	SRR3743032_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Brassica rapa var. parachinensis

Project description:Brassica rapa var. parachinensis Raw sequence reads

| PRJNA327618 | ENA

Brassica rapa var. parachinensis

Project description:Brassica rapa var. parachinensis Raw sequence reads

| PRJNA355966 | ENA

Brassica rapa var. parachinensis

Project description:Brassica rapa var. parachinensis Raw sequence reads

| PRJNA776414 | ENA

Brassica rapa var. parachinensis

Project description:Brassica rapa var. parachinensis Raw sequence reads

| PRJNA782762 | ENA

Brassica rapa var. parachinensis

Project description:RNA-seq of dwarf material for Brassica rapa var. parachinensis

| PRJNA782466 | ENA

Brassica rapa subsp. chinensis Transcriptome

Project description:Deep RNA-Seq of two Brassica rapa genotypes—R500 (var. trilocularis, Yellow Sarson) and IMB211 (a rapid cycling variety)—using eight different tissues (root, internode, leaf, petiole, apical meristem, floral meristem, silique, and seedling) grown across three different environments (growth chamber, greenhouse and field) and under two different treatments (simulated sun and simulated shade) generated 2.3 billion high-quality Illumina reads.

2013-05-01 | E-MTAB-4192 | biostudies-arrayexpress

Genome annotation improvement of Brassica rapa

Project description:The mapping and functional analysis of quantitative traits in Brassica rapa can be greatly improved with the availability of physically positioned, gene-based genetic markers and accurate genome annotation. In this study, deep transcriptome RNA sequencing (RNA-Seq) of Brassica rapa was undertaken with two objectives: SNP detection and improved transcriptome annotation. We performed SNP detection on two varieties that are parents of a mapping population to aid in development of a marker system for this population and subsequent development of high-resolution genetic map. An improved Brassica rapa transcriptome was constructed to detect novel transcripts and to improve the current genome annotation. Deep RNA-Seq of two Brassica rapa genotypesâR500 (var. trilocularis, Yellow Sarson) and IMB211 (a rapid cycling variety)âusing eight different tissues (root, internode, leaf, petiole, apical meristem, floral meristem, silique, and seedling) grown across three different environments (growth chamber, greenhouse and field) and under two different treatments (simulated sun and simulated shade) generated 2.3 billion high-quality Illumina reads. In this experiment, two pools were made, with one pool consisting of 66 samples collected from growth chamber and another pool consisting of 60 samples collected from greenhouse and field. Each pool was sequenced on eight lanes (total 16 lanes) of an Illumina Genome Analyzer (GAIIx) as 100-bp paired end reads.

2014-04-22 | E-MTAB-4276 | biostudies-arrayexpress

Transcriptome analysis for leaf morphology in Brassica rapa

Project description:Among Brassica rapa, rapid cycling Brassica rapa and Brassica rapa inbred line Kenshin showed contrasting leaf morphology. To identify genes associated with leaf morphology, four distinct F2 progeny of RcBr X Kenshin cross and their parents were selected. Leaf samples were collected from 6 materials, isolated total RNA, and subjected to newly developved 135K microarray. Experiments were performed with three or two biologic

2018-05-15 | GSE114479 | GEO

Brassica parachinensis

Project description:Brassica parachinensis Raw sequence reads

| PRJNA1050795 | ENA

Calcium and Magnesium responses in Brassica rapa

Project description:A mapping population of Brassica rapa (BraIRRI, IMB211xR500) was grown under four external calcium and magnesium concentrations in controlled conditions. RNA was extracted and hybridised to the Affymetrix Brassica Exon 1.0 ST array. The aim of the experiment was to identify cis- and trans- expression quantitative trait loci.

2014-05-21 | GSE44185 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data