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Metagenomic samples from composting

ABSTRACT: Metagenomic samples from composting

PROVIDER: PRJNA1083291 | ENA |

REPOSITORIES: ENA

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Dataset's files

Source:

			Action	DRS
	SRR28283443_1.fastq.gz	Fastqsanger.gz
	SRR28283443_2.fastq.gz	Fastqsanger.gz
	SRR28283444_1.fastq.gz	Fastqsanger.gz
	SRR28283444_2.fastq.gz	Fastqsanger.gz
	SRR28283445_1.fastq.gz	Fastqsanger.gz

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HOME-BIO (sHOtgun MEtagenomic analysis of BIOlogical entities): from reads to pathogens. A specific and exhaustive pipeline for handling metagenomic shotgun sequencing data.

Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.

2021-07-26 | E-MTAB-9189 | biostudies-arrayexpress

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