Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

PG

ABSTRACT: PG Raw sequence reads

PROVIDER: PRJNA1049154 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR27139527.fastq.gz	Fastqsanger.gz
	SRR27139528.fastq.gz	Fastqsanger.gz
	SRR27139529.fastq.gz	Fastqsanger.gz
	SRR27139530.fastq.gz	Fastqsanger.gz
	SRR27139531.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 22

Similar Datasets

Morus alba Raw protein sequence reads

Project description:Morus alba L. Raw protein sequence reads and sequence

2024-02-08 | PXD049451 |

Mycoplasmopsis canis PG 14 strain:PG 14

Project description:Mycoplasmopsis canis PG 14 strain:PG 14 Genome sequencing and assembly

| PRJNA311198 | ENA

Mycoplasmopsis canis PG 14 strain:PG 14

Project description:Mycoplasmopsis canis PG 14 strain:PG 14 Genome sequencing and assembly

| PRJNA77819 | ENA

Sphingobacterium sp. PG-1

Project description:Sphingobacterium sp. PG-1 Assembly

| PRJNA308410 | ENA

Winogradskyella sp. PG-2

Project description:Winogradskyella sp. PG-2 Genome sequencing

| PRJDB1597 | ENA

siOLFM4-Pg TIGK RNASeq Study

Project description:siOLFM4-Pg TIGK RNASeq Study

| PRJNA670349 | ENA

Sporocytophaga myxococcoides strain:PG-01

Project description:Sporocytophaga myxococcoides PG-01 genome sequencing

| PRJDB3065 | ENA

CGH analysis of monkey PG-haESCs (parthenogenic haploid embryonic stem cells)

Project description:The genomic DNA sample of monkey PG-haESCs were compared to the female adipose cells by comparative genomic hybridization. The data confirmed that these haploid cells sustained genome integrity.

2013-06-26 | GSE43979 | GEO

Streptococcus pneumoniae R6M2-PG

Project description:Streptococcus pneumoniae R6M2-PG Genome sequencing and assembly

| PRJNA73471 | ENA

Quantitative whole transcriptomics sequencing of progeria-derived cells point to a key role of nucleotide metabolism in premature aging

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived PG and their healthy progenitor lines transcriptome profiling (RNA-seq) to proteomic methods (iTRAQ) and to evaluate these protocols for optimal high-throughput data analysis Methods: The raw RNA-Seq reads for each sample were aligned to the reference human genome browser (GRCh38.p12 assembly) using Bowtie2 and Tophat2. Results: An average of 23 million paired-end 100-bp reads was obtained per sample. After alignment, raw sequence read depths were converted to estimate transcript abundance measured as fragments per kilobase of exons per million (FPKM), and the cuffinks of differentially expressed genes and transcripts were calculate with Cuffdidd. Conclusions: Our study represents a detailed analysis of human PG lines transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell pathological line. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

2018-04-30 | GSE113648 | 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