Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Ultra-deep sequencing of a soil sample from the Schönbuch forest

ABSTRACT: Ultra-deep sequencing of a soil sample from the Schönbuch forest

PROVIDER: PRJEB89893 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	ultra-deep-soil-hybrid.fasta.gz	Fasta.gz
	all_combined_magscot_cleanbin_000001.fasta.gz	Fasta.gz
	all_combined_magscot_cleanbin_000002.fasta.gz	Fasta.gz
	all_combined_magscot_cleanbin_000003.fasta.gz	Fasta.gz

Items per page:

1 - 5 of 847

Similar Datasets

Ultra-deep shotgun sequencing

Project description:Ultra-deep shotgun sequencing

| PRJEB24152 | ENA

Ultra-deep bulk RNA-seq from hESC-derived thyroid follicular cells

Project description:This study provides ultra-deep bulk RNA-seq data from human embryonic stem cell (hESC)-derived thyroid follicular cells. The NKX2-1GFP+ population was isolated using fluorescence-activated cell sorting (FACS) and subjected to RNA extraction. Library preparation was performed using the Ovation Solo RNA-seq System, followed by high-output sequencing on the Illumina HiSeq 1500 platform. Each sample generated approximately 400 million reads. These data enable transcriptomic analysis of differentiated thyroid lineage cells exposed to IFN-α and IFN-γ.

2025-08-13 | GSE295120 | GEO

forest soil sample

Project description:Methanotrophs in forest soils of China

| PRJNA525549 | ENA

Ultra-deep, fault-bordered sedimentary rocks metagenome

Project description:Ultra-deep, fault-bordered sedimentary rocks metagenome Metagenome

| PRJNA807541 | ENA

Ultra-fast deep-learned pediatric CNS tumor classification

Project description:Ultra-fast deep-learned pediatric CNS tumor classification

| PRJNA996977 | ENA

A Nile Rat Transcriptomic Landscape Across 22 Organs By Ultra-deep Sequencing and Comparative RNA-seq pipeline (CRSP)

Project description:We generated the first ultra-deep Nile grass rat RNA-seq data from 60 biopsy samples representing 22 major organs, providing a unique resource and spatial transcriptomic reference (e.g., tissue gene expression baseline) for using Nile grass rat as a model to study human diseases.

2022-12-09 | GSE215233 | GEO

Deciphering KRAS and NRAS mutated clones dynamics in MLL-AF4 pediatric leukemia by ultra deep sequencing analysis

Project description:We studied the KRAS and NRAS mutational status in pediatric MLL-AF4+ leukemia patients by means of ultra deep amplicon sequencing. The gene expression profiles of RAS wild type and RAS mutated patients were investigated by gene expression analysis. We showed that mutated patients were characterized by a RAS related expression signature.

2016-10-04 | GSE77416 | GEO

Ultra-deep sequencing reveals pre-mRNA splicing as a sequence driven high-fidelity process

Project description:Alternative splicing diversifies mRNA transcripts in human cells. While the spliceosome pairs exons with a high degree of accuracy, the rates of rare aberrant and non-canonical pre-mRNA splicing have not been evaluated at the nucleotide level to determine the quantity and identity of these events across splice junctions. Using ultra-deep sequencing the frequency of aberrant and non-canonical splicing events for three splice junctions flanking exon 7 of SMN1 were determined at single nucleotide resolution. After correction for background noise introduced by PCR amplification and sequencing steps, pre-mRNA splicing was shown to maintain a low overall rate of aberrant and non-canonically spliced events. Several previously unannotated splicing events across 3 exon|intron junctions in SMN1 were identified. Mutations within SMN exon 7 were shown to affect splicing fidelity by modulating RNA secondary structures, by altering the binding site of regulatory proteins and by changing the 5’ splice site strength. Mutations also create a truncated SMN1 exon 7 through the introduction of a de novo non-canonical 5’ splice site. The results from the ultra-deep sequencing approach highlight the impressive fidelity of pre-mRNA splicing and demonstrate that the immediate sequence context around splice sites is the main driving force behind non-canonical splice site pairing.

2019-09-24 | GSE137883 | GEO

The regulatory landscape of the yeast phosphoproteome – ultra-deep reference phosphoproteomic DDA data

Project description:We systematically exposed the yeast Saccharomyces cerevisiae to a wide array of 101 perturbations and generated a quantitative mass spectrometry-based atlas of early phosphoproteomic responses. Perturbations covered broad classes of environmental, chemical, and drug perturbations and systematically targeted diverse aspects of yeast cell biology. Importantly, most perturbations focused on capturing early signaling responses (5 min treatments). An ultra-deep yeast phosphoproteome was generated from a pooled sample of all 5 min perturbations by multi protease digestion, deep offline fractionations using two different peptide separation methods, and data-dependent acquisition (DDA). This submission includes 120 DDA-MS raw files that were used to generate a deep yeast phosphoproteome.

2023-08-27 | PXD035029 | Pride

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Project description:Ultra-deep, long-read nanopore sequencing of mock microbial community standards

| PRJEB29504 | ENA