Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Physaria fendleri

ABSTRACT: Physaria fendleri Transcriptome or Gene expression

PROVIDER: PRJNA260225 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR1564420.fastq.gz	Fastqsanger.gz
	SRR1564418.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Project description:Physaria lindheimeri transcriptome raw data

| PRJNA672105 | ENA

Project description:Physaria (Brassicaceae) sequences

| PRJNA1315264 | ENA

Biomarks of Resistance to Cetuximab in Colorectal Cancer

Project description:Interventions: A group:Before using cetuximab;B group:After progression of disease:no Primary outcome(s): KRAS gene sequence;NRAS gene sequence;BRAF gene sequence;PIK3CA gene sequence;EGFR gene sequence;EGFR gene copy numbers;EGFR expression;Her2 expression;c-Met expression;PTEN expression Study Design: historical control

| 2671639 | ecrin-mdr-crc

Physaria filiformis

Project description:Shotgun sequencing of Physaria filiformis

| PRJNA675628 | ENA

Project description:Transcriptome Comparison of Physaria (Lesquerella) fendleri and Camelina sativa Developing Seeds

| PRJNA291630 | ENA

Project description:RNA-assisted assembly of Physaria fendleri genome

| PRJNA951248 | ENA

TR study of ‘multicenter Phase II study to evaluate efficacy and safety of combination therapy with trastuzumab and pertuzumab in patients with HER2-positive metastatic colorectal cancer&quot

Project description:Primary outcome(s): Cancer-related gene alteration, expression of protein, and expression of RNA

| 2645675 | ecrin-mdr-crc

TR study of ‘A multicenter phase II study of eribulin monotherapy in patients with BRAF V600E mutant metastatic colorectal cancer (BRAVERY study)&quot

Project description:Primary outcome(s): cancer-related gene alteration, gene expression, microsatellite instability, BRAF mutant allele frequency

| 2646701 | ecrin-mdr-crc

Transcriptome and proteome derived networks reveal distinct and complementary gene relationships

Project description:Co-expression networks and gene regulatory networks (GRNs) are emerging as important tools for predicting the functional roles of individual genes at a system-wide scale. To enable network reconstructions we built a large-scale gene expression atlas comprised of 62,547 mRNAs, 17,862 non-modified proteins, and 6,227 phosphoproteins harboring 31,595 phosphorylation sites quantified across maize development. There was little edge conservation in co-expression and GRNs reconstructed using transcriptome versus proteome data yet networks from either data type were enriched in ontological categories and effective in predicting known regulatory relationships. This integrated gene expression atlas provides a valuable community resource. The networks should facilitate plant biology research and they provide a conceptual framework for future systems biology studies highlighting the importance of studying gene regulation at several levels.

| MSV000079290 | MassIVE

Transcriptome and proteome derived networks reveal distinct and complementary gene relationships - additional phosphoproteomics data

| MSV000079303 | MassIVE