Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

JsPhyPunc

ABSTRACT: Phyllorhiza punctata, genomic and transcriptomic data

PROVIDER: PRJEB83149 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR14048093.fastq.gz	Fastqsanger.gz
	ERR14056193_1.fastq.gz	Fastqsanger.gz
	ERR14056193_2.fastq.gz	Fastqsanger.gz
	ERR14048094.fastq.gz	Fastqsanger.gz
	ERR14056194_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

icLesPunc

Project description:Lesteva punctata, genomic and transcriptomic data

| PRJEB81625 | ENA

Liatris punctata

Project description:Liatris punctata (dotted gayfeather) genomic and transcriptomic data

| PRJNA1257904 | ENA

Synchroa punctata

Project description:Synchroa punctata (synchroa bark beetle) genomic and transcriptomic data

| PRJNA1306143 | ENA

Phyllorhiza punctata proteome - oral arms, gonads, mantle

Project description:In this study, we characterize the proteomic landscape of the invasive, edible, and bloom-forming jellyfish Phyllorhiza punctata by analyzing its oral arms, gonads, and mantle tissues. Utilizing high-throughput liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS), we present a comprehensive profile of the protein composition across these tissues. Our findings provide novel insights into the functional and ecological roles of the P. punctata proteome, advancing the understanding of its biology and potential biotechnological applications.

2025-08-11 | PXD066818 | Pride

Hymenocardia punctata leaves extract metabolite profiling

Project description:HRMS/MS data and associated content of the phytochemical study of Hymenocardia punctata

2023-08-02 | MSV000092572 | MassIVE

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

tfGorAlbo

Project description:Gordius_albopunctatus, genomic and transcriptomic data

| PRJEB78907 | ENA

Ixothraupis punctata

Project description:Ixothraupis punctata

| PRJNA959952 | ENA

Carex punctata

Project description:Carex punctata

| PRJNA1245477 | ENA

Corixa punctata

Project description:Corixa punctata