Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

QlSmiViri

ABSTRACT: Sminthurus viridis, genomic and transcriptomic data

PROVIDER: PRJEB83161 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR14048103.fastq.gz	Fastqsanger.gz
	ERR14056206_1.fastq.gz	Fastqsanger.gz
	ERR14056206_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

lpPolViri

Project description:Polypogon viridis, genomic and transcriptomic data

| PRJEB78639 | ENA

idGymViri

Project description:Gymnocheta viridis, genomic and transcriptomic data

| PRJEB61906 | ENA

jaCorViri

Project description:Corynactis viridis (jewel anenome), genomic and transcriptomic data

| PRJEB81902 | ENA

ihCicViri

Project description:Cicadella viridis (green leafhopper), genomic and transcriptomic data

| PRJEB76370 | ENA

Symbiosis in Anemonia viridis sea anemones

Project description:This SuperSeries is composed of the following subset Series: GSE22360: Transcriptomic adaptations to symbiotic life in cnidarians : symbiotic vs bleached Anemonia viridis sea anemones GSE22361: Endoderm- vs ectoderm-specific expression of symbiosis genes in the snakelocks sea anemone Refer to individual Series

2011-06-01 | E-GEOD-22375 | biostudies-arrayexpress

BOLC102

Project description:Brassica oleracea subsp. viridis gr. Chou fourrager (C102), genomic and transcriptomic data

| PRJEB91565 | ENA

Grasses suppress shoot-borne roots to conserve water during drought

Project description:Setaria viridis, the wild ancestor of millet, exhibits strong repression of crown root growth in drought. We compare in gene expression in the S. viridis crown between drought vs watered treatments.

2016-07-22 | GSE78054 | GEO

Sorghum bicolor and Setaria viridis PARE-seq

Project description:Parallel Analysis of RNA Ends (PARE) sequencing reads were generated to validate putative microRNAs and identify cleavage sites in Sorghum bicolor and Setaria viridis.

2020-05-19 | GSE150798 | GEO

Tropheryma whipplei proteome - Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme

Project description:Analyses of new genomic, transcriptomic or proteomic data commonly result in trashing many unidentified data escaping the ‘canonical’ DNA-RNA-protein scheme. Testing systematic exchanges of nucleotides over long stretches produces inversed RNA pieces (here named “swinger” RNA) differing from their template DNA. These may explain some trashed data. Here analyses of genomic, transcriptomic and proteomic data of the pathogenic Tropheryma whipplei according to canonical genomic, transcriptomic and translational 'rules' resulted in trashing 58.9% of DNA, 37.7% RNA and about 85% of mass spectra (corresponding to peptides). In the trash, we found numerous DNA/RNA fragments compatible with “swinger” polymerization. Genomic sequences covered by «swinger» DNA and RNA are 3X more frequent than expected by chance and explained 12.4 and 20.8% of the rejected DNA and RNA sequences, respectively. As for peptides, several match with “swinger” RNAs, including some chimera, translated from both regular, and «swinger» transcripts, notably for ribosomal RNAs. Congruence of DNA, RNA and peptides resulting from the same swinging process suggest that systematic nucleotide exchanges increase coding potential, and may add to evolutionary diversification of bacterial populations.

2017-12-18 | PXD006238 | Pride

A dynamic co-expression map of early inflorescence development in Setaria viridis provides a resource for gene discovery and comparative genomics

Project description:Setaria viridis is a small, rapidly growing grass species in the subfamily Panicoideae, a group that includes economically important cereal crops such as maize and sorghum. The S. viridis inflorescence displays complex branching patterns, but its early development is similar to that of other panicoid grasses, and thus is an ideal model for studying inflorescence architecture. Here we report detailed transcriptional resource that captures dynamic transitions across six sequential stages of S. viridis inflorescence development, from reproductive onset to floral organ differentiation. Co-expression analyses identified stage-specific signatures of development, which include homologs of previously known developmental genes from maize and rice, suites of transcription factors and gene family members, and genes of unknown function. This spatiotemporal co-expression map and associated analyses provide a foundation for gene discovery in S. viridis inflorescence development, and a comparative model for exploring related architectural features in agronomically important cereals.

2018-08-17 | GSE118673 | 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