Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Chakrata rajmah rhizospheric soil metagenome

ABSTRACT: Chakrata rajmah rhizospheric soil metagenome Raw sequence reads

PROVIDER: PRJNA891453 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22028591_1.fastq.gz	Fastqsanger.gz
	SRR22028591_2.fastq.gz	Fastqsanger.gz
	SRR22028592_1.fastq.gz	Fastqsanger.gz
	SRR22028592_2.fastq.gz	Fastqsanger.gz
	SRR22028593_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 8

Similar Datasets

Rhizospheric soil

Project description:Rhizospheric soil Metagenome

| PRJNA588152 | ENA

Rhizospheric soil

Project description:Rhizospheric soil Metagenome

| PRJNA588182 | ENA

Rhizospheric soil

Project description:Rhizospheric soil Metagenome

| PRJNA877844 | ENA

Rhizospheric soil of panax notoginseng

Project description:Rhizospheric soil of panax notoginseng Raw sequence reads

| PRJNA595623 | ENA

rhizospheric soil microbial communities of alfalfa

Project description:Rhizospheric soil microbial communities of alfalfa Raw sequence reads

| PRJNA849183 | ENA

Rhizosphere soil metagenome of harsil Rajmah

Project description:Rhizosphere soil metagenome of harsil Rajmah Raw sequence reads

| PRJNA889024 | ENA

RNA-Seq Analysis to confirm Different Transcriptomic Profiles of Soil-Derived Functional Module Consortia.

Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.

2020-01-14 | GSE143587 | GEO

rhizospheric soils

Project description:rhizospheric soils Raw sequence reads

| PRJNA645246 | ENA

rhizosphere metagenome

Project description:Jeolikote rajmah rhizospheric soil metagenome from treated and non treated soil samples Raw sequence reads

| PRJNA1003255 | ENA

Plant rhizospheric soil metagenome JP

Project description:Plant rhizospheric soil metagenome JP inoculated with PSB

| PRJNA931811 | ENA