Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: 16S rRNA gene amplicon sequencing data of rapid sand filters of various ages

PROVIDER: PRJNA914995 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22863100_1.fastq.gz	Fastqsanger.gz
	SRR22863100_2.fastq.gz	Fastqsanger.gz
	SRR22863101_1.fastq.gz	Fastqsanger.gz
	SRR22863101_2.fastq.gz	Fastqsanger.gz
	SRR22863102_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 180

Similar Datasets

Project description:16S rRNA gene amplicon sequencing of household sand filters in Hanoi (Vietnam)

| PRJNA757982 | ENA

RNA-seq of iron-rich pelagic aggregates (iron snow) in 2017 and 2018

Project description:Iron-rich pelagic aggregates (iron snow) were collected directly onto silicate glass filters using an electronic water pump installed below the redoxcline. RNA was extracted and library preparation was done using the NEBNext Ultra II directional RNA library prep kit for Illumina. Data was demultiplied by GATC sequencing company and adaptor was trimmed by Trimgalore. After trimming, data was processed quality control by sickle and mRNA/rRNA sequences were sorted by SortmeRNA. mRNA sequences were blast against NCBI-non redundant protein database and the outputs were meganized in MEGAN to do functional analysis. rRNA sequences were further sorted against bacterial/archeal 16S rRNA, eukaryotic 18S rRNA and 10,000 rRNA sequences of bacterial 16S rRNA, eukaryotic 18S rRNA were subset to do taxonomy analysis.

2021-10-15 | E-MTAB-9686 | biostudies-arrayexpress

Project description:Rapid Sand Filter, influent, effluent and backwash water 16S rRNA gene amplicon sequencing

| PRJNA1107137 | ENA

Quantification of mock microbial communities with metagenomes, 16S rRNA gene amplicons and metaproteomics

Project description:In this study we developed metaproteomics based methods for quantifying taxonomic composition of microbiomes (microbial communities). We also compared metaproteomics based quantification to other quantification methods, namely metagenomics and 16S rRNA gene amplicon sequencing. The metagenomic and 16S rRNA data can be found in the European Nucleotide Archive (Study number: PRJEB19901). For the method development and comparison of the methods we analyzed three types of mock communities with all three methods. The communities contain between 28 to 32 species and strains of bacteria, archaea, eukaryotes and bacteriophage. For each community type 4 biological replicate communities were generated. All four replicates were analyzed by 16S rRNA sequencing and metaproteomics. Three replicates of each community type were analyzed with metagenomics. The "C" type communities have same cell/phage particle number for all community members (C1 to C4). The "P" type communities have the same protein content for all community members (P1 to P4). The "U" (UNEVEN) type communities cover a large range of protein amounts and cell numbers (U1 to U4). We also generated proteomic data for four pure cultures to test the specificity of the protein inference method. This data is also included in this submission.

2017-05-12 | PXD006118 | Pride

Bioaerosols in swine confinement buildings: A metaproteomic view

Project description:Swine confinement buildings (SCBs) represent workplaces with high biological air pollution. It is suspected that individual components of inhalable air are causatives of chronic respiratory disease that are regularly detected among workers. In order to understand the relationship between exposure and stress, the aim of this study was to develop a method to investigate the components of bioaerosols in more detail. For this purpose, bioaerosols from pig barns were collected on quartz filters from two exclusively housed pig types (porkers and gestating sows) and subsequently analyzed via a combinatorial approach of 16S rRNA amplicon sequencing and metaproteomics. The workflow helps to clarify diversity in bioaerosols from a taxonomic perspective, but also from a functional perspective.

2024-01-26 | PXD039685 | Pride

Soil Metaproteomics LC-MS

Project description:Sensitive models of climate change impacts would require a better integration of multi-omics approaches that connect the abundance and activity of microbial populations. Here, we show that climate is a fundamental driver of the protein abundance of microbial populations (metaproteomics), yet not their genomic abundance (16S rRNA gene amplicon sequencing), supporting the hypothesis that metabolic activity may be more closely linked to climate than community composition.

2022-03-01 | PXD009773 | Pride

Project description:16S sequencing of slow sand filters

| PRJNA998239 | ENA

Project description:16S rRNA gene amplicon sequencing of various environmental samples

| PRJNA563986 | ENA

uncultured prokaryote

Project description:Survey of Danish groundwater-fed rapid sand filters

| PRJNA399693 | ENA

Gurbantunggut desert sand - 16S rRNA amplicon

Project description:Gurbantunggut desert sand - 16S rRNA amplicon Raw sequence reads

| PRJNA687618 | ENA