Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Quercus acutissima

ABSTRACT: Quercus acutissima Raw sequence reads

PROVIDER: PRJNA756808 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR15604642_1.fastq.gz	Fastqsanger.gz
	SRR15604643_1.fastq.gz	Fastqsanger.gz
	SRR15604643_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 3 of 3

Similar Datasets

Quercus acutissima

Project description:Quercus acutissima Raw sequence reads

| PRJNA915792 | ENA

Quercus acutissima-Pinus massoniana

Project description:Quercus acutissima-Pinus massoniana Raw sequence reads

| PRJNA1270166 | ENA

Quercus acutissima

Project description:Quercus acutissima overview

| PRJNA757164 | ENA

Raw sequence reads of fungi isolated from Quercus acutissima root soil and roots

Project description:Raw sequence reads of fungi isolated from Quercus acutissima root soil and roots Raw sequence reads

| PRJNA1109998 | ENA

Proteomic changes during desiccation process in recalcitrant Quercus acutissima seeds

Project description:To investigate proteomic changes during desiccation in recalcitrant Quercus acutissima seeds, TMT labeling technology was used to analyze protein profiles at initial moisture content, semi-lethal moisture content, and lethal moisture content stages. A total of 400,166 secondary spectra were obtained, identifying 39,777 peptides, among which 6,682 proteins were qualitatively identified and 6,398 were reliable proteins.

2025-02-13 | PXD060749 |

Quercus

Project description:Quercus Raw sequence reads

| PRJNA810970 | ENA

Quercus

Project description:Quercus Raw sequence reads

| PRJNA318475 | ENA

Quercus

Project description:Raw sequence reads from Quercus

| PRJNA398401 | ENA

Transcriptomic analysis of Quercus mongolica leaves: de novo assembly, functional annotation and molecular markers mining

Project description:Purpose: The goal of this study is to provided a comprehensive genomic information for functional genomic studies in Q. mongolica. Methods:The Quercus mongolica leaves were generated by deep sequencing, using Illumina Hiseq 4000. The high-quality reads were obtained by removing the reads that contained adaptor contamination, low quality bases and undetermined bases.The transcriptome were de novo assembly. Results:A total of 52934562 raw reads were obtained from Illumina sequencing platform. After filtering out the low quality reads, we obtained 52076914 clean reads, which assembled into 39130 transcripts with a mean length of 742 bp and GC content of 42.12%, and 24196 unigenes with a mean length of 732 bp and GC content of 42.34%, based on Trinity assembly platform. Conclusions:RNA-Seq was applied to polyadenylate-enriched mRNAs from leaves of Q. mongolica to obtain the transcriptome. De novo assembly was then applied followed by gene annotation and functional classification. The SSRs and SNPs were also obtained using assembled transcripts as reference sequences. The results of this study lay the foundation for further research on genetic diversity of Quercus.

2019-01-29 | GSE125799 | GEO

Quercus

Project description:Quercus ilex, Quercus suber, Quercus ilex x suber Raw sequence reads RADS

| PRJNA505763 | ENA