Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Marsilea vestita genome and transcriptome sequencing

PROVIDER: PRJNA849927 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR19693008_1.fastq.gz	Fastqsanger.gz
	SRR19693008_2.fastq.gz	Fastqsanger.gz
	SRR19693009_1.fastq.gz	Fastqsanger.gz
	SRR19693009_2.fastq.gz	Fastqsanger.gz
	SRR19693010_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

Precision Medicine for Colorectal Cancer Liver Metastasis Guided by Multi-omics Data Under the Umbrella Theory

Project description:In order to more accurately discover the cause of drug resistance in tumor treatment, and to provide a new basis for precise treatment. Therefore, based on the umbrella theory of precision medicine, we carried out this single-center, prospective, and observational study to include patients with liver metastases from colorectal cancer. By combining genome, transcriptome, and proteomic sequencing data, we established a basis for colorectal cancer liver Transfer the multi-omics data of the sample, describe the reason for the resistance of the first-line treatment, and search for new therapeutic targets.

| 2349788 | ecrin-mdr-crc

Analysis of Naja naja snake venom

Project description:GelC-MS analysis of Naja naja snake venom that goes alongside a genome sequencing and transcriptome analysis of the Indian cobra.

2019-11-08 | MSV000084564 | MassIVE

Stellaria vestita

Project description:Stellaria vestita Genome sequencing and assembly

| PRJNA576129 | ENA

Eriocnemis vestita

Project description:Eriocnemis vestita

| PRJNA833138 | ENA

A multicenter translational biomarker phase II trial of regorafenib in patients with non-resectable pretreated colorectal cancer.

Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS). Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).

| 2533916 | ecrin-mdr-crc

Idesia polycarpa var. vestita

Project description:Idesia polycarpa var. vestita Genome sequencing and assembly

| PRJNA1117198 | ENA

ORG.one project - Gleditsia vestita

Project description:ORG.one project - Gleditsia vestita

| PRJEB53423 | ENA

Agrypnia vestita and Hesperophylax magnus

Project description:Agrypnia vestita and Hesperophylax magnus Genome sequencing and assembly

| PRJNA668166 | ENA

Surgical Treatment and Molecular Marker Exploration of Locally Recurrent Colorectal Cancer

Project description:This study intends to explore the clinicopathological characteristics and survival prognosis of locally recurrent colorectal cancer patients with different treatment modes by retrospectively analyzing the medical records of locally recurrent colorectal cancer patients who received hospitalization in our center. Transcriptome sequencing and public databases were used to screen for molecular markers related to locally recurrent colorectal cancer and to explore molecular markers’ regulatory role in the progression of locally recurrent colorectal cancer.

| 116635 | ecrin-mdr-crc

Integrative proteogenomics using ProteomeGenerator2

Project description:Recent advances in nucleic acid sequencing now permit rapid and genome-scale analysis of genetic variation and transcription, enabling population-scale studies of human biology, disease, and diverse organisms. Likewise, advances in mass spectrometry proteomics now permit highly sensitive and accurate studies of protein expression at the proteome-scale. However, most proteomic studies remain limited to the analysis of canonical reference proteomes. Here, we develop ProteomeGenerator2 (PG2), based on the scalable and modular ProteomeGenerator framework. PG2 integrates genome and transcriptome sequencing to incorporate protein variants containing amino acid substitutions, insertions, and deletions, as well as non-canonical reading frames, exons, and other variants caused by genomic and transcriptomic variation. PG2 can be integrated with current and emerging sequencing technologies, assemblers, variant callers, and mass spectral analysis algorithms, and is available open-source from https://github.com/kentsisresearchgroup/ProteomeGenerator2.

2024-05-22 | PXD037061 | Pride

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