Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Aduncisulcus paluster strain:NY0171

ABSTRACT: Aduncisulcus paluster, RNA sequencing

PROVIDER: PRJDB13223 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR353576_1.fastq.gz	Fastqsanger.gz
	DRR353576_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Aduncisulcus paluster strain:NY0171

Project description:Aduncisulcus paluster, Genome sequencing

| PRJDB13077 | ENA

Suillus paluster strain:FC165

Project description:Suillus paluster FC165 Transcriptome - FC165 RNA

| PRJNA501622 | ENA

Aduncisulcus paluster

Project description:Aduncisulcus paluster overview

| PRJNA843845 | ENA

Suillus paluster

Project description:Suillus paluster overview

| PRJNA503067 | ENA

Suillus paluster strain:FC165

Project description:Suillus paluster FC165 Standard Draft genome sequencing

| PRJNA500122 | ENA

Identification of the molecular basis of anti-cancer effect of Huaier.

Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None. Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes. For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..

| 2612481 | ecrin-mdr-crc

Draft Genome Sequence of Aduncisulcus paluster, a Free-Living Microaerophilic Eukaryote Belonging to the Fornicata.

Project description:Aduncisulcus paluster is a free-living, unicellular flagellate belonging to the eukaryotic lineage Fornicata, which includes free-living and commensal/parasitic organisms. Here, we report the draft genome sequence of A. paluster, which provides clues for elucidating the adaptation to microaerophilic/anaerobic environments and the transition between free-living and commensal/parasitic lifestyles in Fornicata.

| S-EPMC9933649 | biostudies-literature

Characterization of a macrophage population under the control of nerves in the gastrointestinal tract

Project description:Primary objectives: Characterization of the macrophage population subset that is modulated by enteric neurons Primary endpoints: Characterization of the macrophage population subset that is modulated by enteric neurons via RNA sequencing

| 2538227 | ecrin-mdr-crc

Endogenous small RNAs from Chlamydomonas reinhardtii strain J3(mt-) vegetative cells

Project description:endogenous small RNAs from Chlamydomonas reinhardtii strain J3(mt-) vegetative cells Keywords: High throughput 454 small RNA sequencing

2007-06-04 | GSE7575 | GEO

microRNA-sequencing of inbred mouse strain hippocampus and frontal cortex

Project description:Purpose: We carried out small RNA sequencing to determine miRNA expression patterns of hippocampus and frontal cortex in six inbred mouse strains. We analyzed miRNA expression levels, isomiR distribution and miRNA editing events. Methods: We constructed small RNA libraries starting from the total RNA extracted from the hippocampus and frontal cortex of three animals per strain. The sequencing was carried out using Illumina HiSeq2000 (single-end). The sequence reads that passed quality filters were mapped to the mouse genome (mm10) and to known miRNAs (miRBase v21) using miRDeep2, SeqBuster, and sRNAbench, to obtain miRNA and isomiR expression levels and to predict novel miRNAs. Genome alignments were analysed for miRNA editing using FreeBayes. Results: We detected significant miRNA and isomiR expression level differences between the strains and brain regions. Most of the miRNA loci produced a number of isomiRs. Some miRNAs were consistently edited with a pattern that matches the activity of known RNA editing enzymes.

2018-01-18 | GSE84408 | 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