Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Reservoir thickness simulation experiment sequencing data

PROVIDER: PRJNA1137125 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29876394_1.fastq.gz	Fastqsanger.gz
	SRR29876394_2.fastq.gz	Fastqsanger.gz
	SRR29876395_1.fastq.gz	Fastqsanger.gz
	SRR29876395_2.fastq.gz	Fastqsanger.gz
	SRR29876396_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

Project description:Methane oxidation soil column simulation experiment sequencing

| PRJNA1066587 | ENA

DNA methylation profilings of Blood Cell collected from CELSS 180-day experiment

Project description:In this study, we designed a space simulation study, named “4 Subjects 180-Day Controlled Ecological Life Support System (CELSS) Integration Experiment”, which took place in Shenzhen, China, from June to December 2016. In this experiment, four subjects (3 males and 1 female) lived for 180 days in an enclosed simulated cabin, and multiple-sampling-point DNA methylation data was collected to conduct the epigenic analysis. Peripheral whole blood cells were extracted from all 4 subjects on the 12 sampling points (Pre45, Pre15, R2, R30, R60, R75, R90, R105, R120, R150, R175 and Post30 mission day during the experiment).

2019-06-21 | GSE133118 | GEO

soil metagenome

Project description:Simulation experiment of DNA ractionation in soil Targeted loci environmental

| PRJNA325570 | ENA

Benchmarking of 4C-seq pipelines based on real and simulated data

Project description:With its capacity for high-resolution data output in one region of interest, chromosome conformation capture combined with high-throughput sequencing (4C-seq) is a state-of-the-art next-generation sequencing technique that provides epigenetic insights, and regularly advances current medical research. However, 4C-seq data is complex and prone to biases, and while specialized programs exist, an unbiased, extensive benchmarking is still lacking. Furthermore, neither substantial datasets with fully characterized ground truth, nor simulation programs for realistic 4C-seq data have been published. We conducted a benchmarking study on 54 4C-seq samples from 12 datasets, including original murine BMM, T-cell, and 416B data, and developed a novel 4C-seq simulation software to allow for more detailed comparisons of 4C-seq algorithms on 50 simulated datasets with 10 to 120 samples each.

2019-05-29 | GSE123131 | GEO

Project description:HS PE experiment sequencing data

| PRJNA884088 | ENA

Transcriptional profiling of UV-B response of Populus alba.

Project description:Microarray technology was used to assess transcriptome changes in poplar (Populus alba L.) under a realistic simulation of increased UV-B radiation. Plants were UV-Bbe (UV-B biologically effective radiation) supplemented with a dose of 6 kJ/m2/day for 12 hours per day and allowed to recover during the night. Poplar plants were UV-B treated using a refined controlled environment able to guarantee a realistic simulation of natural conditions, especially for light parameters such as presence of background UV-B radiation for control plants and balanced PAR/UV-A/UV-B ratio. A time course experiment was planned to look both at the rapid and delayed response of poplar to UVB; two time points after 3 h (T3h) and 30 h (6th hour of the third day of treatment, T30h) were considered. 4 independent biological replicates were analysed for each time point. Competitive hybridisations were carried out using the PICME 28K microarray. Keywords: Time course experiment, stress response

2013-12-01 | GSE9470 | GEO

Wind-responsive changes in poplar leaves of different developmental stages

Project description:A developmental series of wind-treated Populus leaf tissue was subjected to array analyses in order to address the issue of age-dependent responsiveness to environmental changes. The following developmental stages were defined for the experiment: Y – “youngest leaf” including the shoot tip = smallest fully enrolled leaf; E – “expanded leaf” = oldest leaf that had not reached full leaf thickness; M – “mature leaf” = 5th leaf below E = has reached full leaf expansion and full leaf thickness; O – “old leaf” = 5th leaf below E. Keywords: transcription profiling

2008-04-03 | GSE11026 | GEO

cave metagenome

Project description:Metagenomic results of original samples and indoor simulation experiment inside lava tubes (PRJCA038844)

| PRJDB35180 | ENA

cave metagenome

Project description:Metatranscriptomic results of original samples and indoor simulation experiment inside lava tubes (PRJCA038891)

| PRJDB35192 | ENA

Project description:Field experiment data

| PRJNA1172552 | ENA