Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Viral Metagenomic Analysis of Goat Fecal Samples

PROVIDER: PRJNA783011 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR17033244_1.fastq.gz	Fastqsanger.gz
	SRR17033244_2.fastq.gz	Fastqsanger.gz

Items per page:

1 - 2 of 2

Similar Datasets

Differences in gut microbiota and its metabolic function among different fasting plasma glucose groups in Mongolian population of China

Project description:We recruited 24 Mongolian volunteers,6 of which were T2D cases(sample T1-T6), 6 were prediabetes cases(sample P1-P6), and 12 were health cases(sample C1-C12). The metagenomic analysis of gut microbiota from the volunteers’ fecal samples was performed. We compared the microbial differences in the three groups, and analyzed the differences of the stool microbial function.

2022-07-30 | E-MTAB-11957 | biostudies-arrayexpress

Equus caballus

Project description:Viral Metagenomic Analysis of Equine Samples

| PRJNA721725 | ENA

Project description:Viral metagenomic analysis of macaque gut samples

| PRJNA607332 | ENA

feces metagenome

Project description:Metagenomic sequencing analysis of duck fecal samples

| PRJDB11394 | ENA

Non-diarrheal metagenome

Project description:Metagenomic analysis of community fecal samples from Kolkata

| PRJEB43103 | ENA

Sus scrofa

Project description:Metagenomic analysis of post-weaned piglets fecal samples

| PRJNA1149965 | ENA

Detection of antibiotic resistance genes in human gut microbiota

Project description:We used a DNA microarray chip covering 369 resistance types to investigate the relation of antibiotic resistance gene diversity with humans’ age. Metagenomic DNA from fecal samples of 123 healthy volunteers of four different age groups, i.e. pre-school Children (CH), School Children (SC), High School Students (HSS) and Adults (AD) were used for hybridization. The results showed that 80 different gene types were recovered from the 123 individuals gut microbiota, among which 25 were present in CH, 37 in SC, 58 in HSS and 72 in AD. Further analysis indicated that antibiotic resistance genes in groups of CH, SC and AD can be independently clustered, and those ones in group HSS are more divergent. The detailed analysis of antibiotic resistance genes in human gut is further described in the paper DNA microarray analysis reveals the antibiotic resistance gene diversity in human gut microbiota is age-related submitted to Sentific Reports

2014-01-16 | GSE54070 | GEO

Development and validation of a microarray for the investigation of the CAZymes encoded by the human gut microbiome

Project description:Distal gut bacteria play a pivotal role in the digestion of dietary polysaccharides by producing a large number of carbohydrate-active enzymes (CAZymes) that the host otherwise does not produce. We report here the design of a high density custom microarray that we used to spot non-redundant DNA probes for more than 6,500 genes encoding glycoside hydrolases and lyases selected from 174 reference genomes from distal gut bacteria. The custom microarray was tested and validated by the hybridization of bacterial DNA extracted from the stool samples of lean, obese and anorexic individuals. Our results suggest that a microarray-based study can detect genes from low-abundance bacteria better than metagenomic-based studies. A striking example was the finding that a gene encoding a GH6-family cellulase was present in all subjects examined, whereas metagenomic studies have consistently failed to detect this gene in both human and animal gut microbiomes. In addition, an examination of eight stool samples allowed the identification of a corresponding CAZome core containing 46 families of glycoside hydrolases and polysaccharide lyases, which suggests the functional stability of the gut microbiota despite large taxonomical variations between individuals. Fecal samples were collected from eight female subjects. Three were obese subjects of BMI kg m-2: 35, 46.8 and 51.3, respectively; age: 42, 21 and 65 years old, respectively. Three were anorexic women of BMI kg m-2: 9.8, 10 and 13.7, respectively; age: 19, 23 and 49 years old, respectively. Finally, two fecal samples from lean women of BMI kg m-2: 18.6 and 23.42 were analyzed.

2013-10-28 | E-GEOD-51760 | biostudies-arrayexpress

e7caff13-ccaf-4d31-a71d-5339950be902 - samples

Project description:Sequencing of fecal metagenomic libraries

| EGAD00001007639 | EGA

Project description:Viral metagenomics of pig fecal samples

| PRJEB25026 | ENA