Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Kurtia argillacea strain:OMC1749

ABSTRACT: Kurtia argillacea OMC1749 Standard Draft genome sequencing

PROVIDER: PRJNA566991 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10965058_subreads.fastq.gz	Fastqsanger.gz
	SRR10965059_subreads.fastq.gz	Fastqsanger.gz
	SRR11069763_subreads.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

Kurtia argillacea

Project description:Kurtia argillacea overview

| PRJNA568367 | ENA

Jaapia argillacea

Project description:Jaapia argillacea overview

| PRJNA207967 | ENA

Kurtia argillacea strain:OMC1749

Project description:Kurtia argillacea OMC1749 Transcriptome - Ottogen20_T

| PRJNA566974 | ENA

Jaapia argillacea MUCL 33604

Project description:Jaapia argillacea MUCL 33604 Genome sequencing and assembly

| PRJNA207685 | ENA

Jaapia argillacea MUCL 33604

Project description:Jaapia argillacea MUCL 33604 transcriptome

| PRJNA586582 | ENA

Draft genome sequencing of Lactuca. sativa cv. Tizian

Project description:The draft genome of L. sativa (lettuce) cv. Tizian was sequenced in two Illumina sequencing runs, mate pair and shotgun. This entry contains the RAW sequencing data.

2018-02-09 | E-MTAB-6347 | biostudies-arrayexpress

Armillaria solidipes strain:28-4

Project description:Armillaria ostoyae Standard Draft genome sequencing

| PRJNA334329 | ENA

Sphagnum fallax strain:MN | cultivar:MN

Project description:Sphagnum fallax Standard Draft genome sequencing

| PRJNA332927 | ENA

Saccharum officinarum strain:LA Purple | cultivar:LA Purple

Project description:Saccharum officinarum Standard Draft genome sequencing

| PRJNA333303 | ENA

methylGrapher: Genome-Graph-Based Processing of DNA Methylation Data from Whole Genome Bisulfite Sequencing

Project description:Genome graphs, including the recently released draft human pangenome graph, can represent the breadth of genetic diversity and thus transcend the limits of traditional linear reference genomes. However, there are no genome-graph-compatible tools for analyzing whole genome bisulfite sequencing (WGBS) data. To close this gap, we introduce methylGrapher, a tool tailored for accurate DNA methylation analysis by mapping WGBS data to a genome graph. Notably, methylGrapher can reconstruct methylation patterns along haplotype paths precisely and efficiently. To demonstrate the utility of methylGrapher, we analyzed the WGBS data derived from five individuals whose genomes were included in the first Human Pangenome draft as well as WGBS data from ENCODE (EN-TEx). Along with standard performance benchmarking, we show that methylGrapher fully recapitulates DNA methylation patterns defined by classic linear genome analysis approaches. Importantly, methylGrapher captures a substantial number of CpG sites that are missed by linear methods, and improves overall genome coverage while reducing alignment reference bias. Thus, methylGrapher is a first step towards unlocking the full potential of Human Pangenome graphs in genomic DNA methylation analysis.

2025-02-01 | GSE261315 | 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