Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: BSA-seq of Cucumber

PROVIDER: PRJNA890006 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR21885836_1.fastq.gz	Fastqsanger.gz
	SRR21885836_2.fastq.gz	Fastqsanger.gz
	SRR21885837_1.fastq.gz	Fastqsanger.gz
	SRR21885837_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Project description:BSA-seq of cucumber Virescent mutant

| PRJNA844414 | ENA

Project description:BSA-seq analysis of virescent leaf gene in cucumber

| PRJNA612392 | ENA

Proteome sequencing of tobacco yellow leaf mutants

Project description:Subsequently, using a combination of BSA-seq, transcriptomic sequencing (RNA-seq), and proteomic sequencing approaches, we identified the candidate gene Nitab4.5_0008674g0010 that encodes dihydroneopterin aldolase as a factor associated with tobacco leaf yellowing.

2024-06-15 | PXD053162 |

Project description:BSA-seq

| PRJNA941947 | ENA

Project description:BSA-seq

| PRJNA1132379 | ENA

The histone chaperone HIR establishes chromatin states controling nitrogen assimilation and virulence in Candida albicans [ATAC-seq]

Project description:ATAC-seq analysis of wild type C. albicans and a HIR1 gene deletion mutant during nutrient rich growth (YPD) and upon the shift to nitrogen starvation in yeast carbon base medium supplemented with BSA (YCB-BSA medium).

2020-12-31 | GSE157568 | GEO

Project description:BrWAX3-BSA-seq

| PRJNA859942 | ENA

Project description:Peanut BSA-seq

| PRJNA1073701 | ENA

Project description:BSA RNA-seq

| PRJNA705399 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Cucumber and Botrytis cinerea Transcriptome Changes During Infection

Project description:Purpose: The goals of this study are using RNA-seq to obtain cucumber and Botrytis cinerea transcriptome changes during infection Methods: mRNA profiles of anti-infection samples and interaction sample were generate by deep sequencing,using Illumina Hiseq 2500. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: BurrowsâWheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRTâPCR validation was performed using SYBR Green assays Results: Using an optimized data analysis workflow,In total, 248,908,688 raw reads were generated; after removing low-quality reads and those containing adapter and poly-N, 238,341,648 clean reads remained to map the reference genome. There were 3,512 cucumber (differential expression genes) DEGs and 1,735 B. cinerea DEGs. GO enrichment and KEGG enrichment analysis were performed on these DEGs to study the interaction between cucumber and B. cinerea. To verify the reliability and accuracy of our transcriptome data, 5 cucumber DEGs and 5 B. cinerea DEGs were chosen for RT-PCR verification. Conclusions:To the best of our knowledge, this is the first analysis of large-scale transcriptome changes of cucumber during the infection of Botrytis cinerea. These results will increase our understanding of the molecular mechanisms of the cucumber defense Botrytis cinerea and may be used to protect plants against disasters caused by necrotrophic fungal pathogens. mRNA profiles of infection and anti-infection cucumber were generated by deep sequencing, using Illumina Hiseq 2500 .

2016-08-01 | E-GEOD-72191 | biostudies-arrayexpress

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