Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Meiose non oriented RNA-Seq data

ABSTRACT: meiose non oriented RNA-Seq data

PROVIDER: PRJEB5029 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR377668_1.fastq.gz	Fastqsanger.gz
	ERR377668_2.fastq.gz	Fastqsanger.gz
	ERR377669_1.fastq.gz	Fastqsanger.gz
	ERR377669_2.fastq.gz	Fastqsanger.gz
	ERR377670_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

meiose non oriented RNA-Seq data

Project description:We performed RNA-Seq experiments on 4 replicate samples from growth condition of hexoploid bread wheat (Chinese Spring) to construct a transcriptional map on meiotic conditions. Library preparation was preformed according to TruSeq RNA Sample Preparation Guide (Illumina, Part # 15008136 REV. A). Reagents were taken from the Illumina TruSeq Sample Prep Kit -Set A (Illumina, CAT # RS-930-2001). Samples were sequenced with 4 samples per lane on 2x100bp.

2014-01-31 | E-MTAB-2114 | biostudies-arrayexpress

RNA-Seq Data

Project description:RNA-Seq Data

| PRJNA489077 | ENA

RNA-seq data

Project description:RNA-seq data

| PRJNA484735 | ENA

RNA-Seq Analysis

Project description:RNA-Seq analysis carried out in three different backcrosses based on Iberian breed with Landrace, Pietrain and Duroc breeds

2017-10-31 | PRJEB23068 | EVA

Non-floral Cascade RNA-seq

Project description:Non-floral Cascade RNA-seq

| PRJNA578754 | ENA

RNA-seq data of nasopharyngeal carcinoma (NPC) in non-endemic areas

Project description:RNA-seq data of nasopharyngeal carcinoma (NPC) in non-endemic areas

| PRJNA859113 | ENA

Outward-oriented sites within clustered CTCF boundaries are key for intraTAD chromatin interactions and gene regulation [RNA-seq]

Project description:CTCF plays an important role in 3D genome organization by adjusting insulation at TAD boundaries, where clustered CBS (CTCF-binding site) elements are often arranged in tandem array with a complex divergent or convergent orientation. Here using cPcdh and HOXD loci as a paradigm, we look into the clustered CTCF TAD boundaries and find that, counterintuitively, outward-oriented CBS elements are crucial for inward enhancer-promoter interactions as well as for gene regulation. Specifically, by combinatorial deletions of a series of putative enhancer elements in vivo or CBS elements in vitro, in conjunction with chromosome conformation capture and RNA-seq analyses, we show that deletions of outward-oriented CBS elements weaken the strength of long-distance intraTAD promoter-enhancer interactions and enhancer activation of target genes. Our data highlight the crucial role of outward-oriented CBS elements within the clustered CTCF TAD boundaries and have interesting implications on the organization principles of clustered CTCF sites within TAD boundaries.

2023-10-31 | GSE225162 | GEO

ML29755 RNA-seq data

Project description:ML29755 RNA-seq data

| PRJNA475550 | ENA

sci-RNA-seq data

Project description:sci-RNA-seq data

| PRJNA785988 | ENA

Benchmarking differential expression, imputation and quantification methods for proteomics data

Project description:Data analysis is a critical part of quantitative proteomics studies in interpreting biological questions. Numerous computational tools including protein quantification, imputation, and differential expression (DE) analysis were generated in the past decade. However, searching optimized tools is still an unsolved issue. Moreover, due to the rapid development of RNA-Seq technology, a vast number of DE analysis methods are created. Applying these newly developed RNA-Seq-oriented tools to proteomics data is still a question that needs to be addressed. In order to benchmark these analysis methods, a proteomics dataset constituted the proteins derived from human, yeast, and drosophila with different ratios were generated. Based on this dataset, DE analysis tools (including array-based and RNA-Seq based), imputation algorithms, and protein quantification methods were compared and benchmarked. This study provided useful information on analyzing quantitative proteomics datasets. All the methods used in this study were integrated into Perseus which are available at https://www.maxquant.org/perseus.

2022-11-16 | PXD029891 | JPOST Repository

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