Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Microbial eukaryotes Genome sequencing

PROVIDER: PRJNA574242 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10199400_1.fastq.gz	Fastqsanger.gz
	SRR10199400_2.fastq.gz	Fastqsanger.gz
	SRR10199401_1.fastq.gz	Fastqsanger.gz
	SRR10199401_2.fastq.gz	Fastqsanger.gz
	SRR10199402_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 148

Similar Datasets

DNA methylation dynamics during development in the rice blast fungus [Bisulfite-Seq]

Project description:Cytosine methylation is an important epigenetic modification of DNA that is involved in genome defense and transcriptional regulation in eukaryotes. Despite extensive efforts to understand genome-wide distribution and function of DNA methylation in mammals and plants, contribution of DNA methylation to biology of microbial eukaryotes is largely unknown to date. Here we used genetic manipulations and high-throughput bisulphite sequencing on the model plant pathogenic fungus, Magnaporthe oryzae to elucidate the dynamics and mechanics of DNA methylation during pathogenic development.

2016-01-29 | GSE43844 | GEO

DNA methylation dynamics during development in the rice blast fungus [RNA-Seq]

Project description:Cytosine methylation is an important epigenetic modification of DNA that is involved in genome defense and transcriptional regulation in eukaryotes. Contribution of DNA methylation to biology of microbial eukaryotes is largely unknown to date. Here we used RNA-seq to examine the impact of DNA methylation on transcriptional output in the genome of a model pathogenic fungus, Magnaporthe oryzae by comparing expression profiles of wild-type and methylation-deficient mutant strains.

2016-01-29 | GSE43843 | GEO

marine sediment metagenome

Project description:Microbial eukaryotes

| PRJNA244592 | ENA

A multicenter translational biomarker phase II trial of regorafenib in patients with non-resectable pretreated colorectal cancer.

Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS). Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).

| 2533916 | ecrin-mdr-crc

marine metagenome

Project description:Microbial eukaryotes Metagenome

| PRJNA241472 | ENA

Characterization of eukaryotic DNA N6-methyladenine by a highly sensitive restriction enzyme-assisted sequencing

Project description:To interrogate single-base resolution 6mA sites in the genome-wide, we develop DA-6mA-seq (DpnI-Assisted N6-methylAdenine sequencing), an optimized sequencing method taking advantage of restriction enzyme DpnI, which exclusively cleaves methylated adenine sites. We find DpnI also recognizes other sequence motifs besides the canonical GATC restriction sites, largely expanding the application range of this method. DA-6mA-seq requires less starting material and lower sequencing depth than previous methods, but achieves higher sensitivity, providing a good strategy to identify 6mA in large genome with a low abundance of 6mA. We rebuild the 6mA maps of Chlamydomonas by DA-6mA-seq and then apply this method to another two eukaryotic organisms, Plasmodium and Penicillium. Further analysis reveals most 6mA sites are symmetric at various sequence contexts, suggesting 6mA may function as a new heritable epigenetic mark in eukaryotes. A new sequencing method is developed to detect 6mA in eukaryotes

2016-04-12 | E-GEOD-74430 | biostudies-arrayexpress

A single-cell view on alga-virus interactions reveals sequential transcriptional programs and infection states

Project description:We performed single-cell transcriptome analysis (using MARS-seq) for the worldwide-distributed microalga Emiliania huxleyi during infection by its specific coccolithovirus. Our results provide insights into the expression programs and infection strategies of the large virus, and highlight the potential of single-cell RNA-sequencing for microbial eukaryotes in the lab and in the field.

2020-05-22 | GSE135429 | GEO

Project description:Microbial eukaryotes metagenomic and metabarcoding sequencing

| PRJNA1124229 | ENA

Project description:Microbial eukaryotes from Arctic

| PRJNA596339 | ENA

soil metagenome

Project description:Soil eukaryotes Genome sequencing

| PRJNA236067 | ENA