Foundry120 atlas

GUT MICROBIOTA IN IBD PATIENTS

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Dataset overview

Participants None
Samples None
Reuse readiness 4.7/10 evidence-backed score

Choice of next-generation sequencing pipelines.

Abstract

The next-generation sequencing (NGS) technologies are revolutionary tools which have made possible achieving remarkable advances in genetics since the beginning of the twenty-first century. Thanks to the possibility to produce large amount of sequence data, these tools are going to completely substitute other high-throughput technologies. Moreover, the large applications of NGS protocols are increasing the genetic decoding of biological systems through studies of genome anatomy and gene mapping, coupled to the transcriptome pictures. The application of NGS pipelines such as (1) de-novo genomic sequencing by mate-paired and whole-genome shotgun strategies; (2) specific gene sequencing on large bacterial communities; and (3) RNA-seq methods including whole transcriptome sequencing and Serial Analysis of Gene Expression (Sage-analysis) are fundamental in the genome-wide fields like metagenomics. Recently, the availability of these advanced protocols has allowed to overcome the usual sequencing technical issues related to the mapping specificity over standard shotgun library sequencing, the detection of large structural genomes variations and bridging sequencing gaps, as well as more precise gene annotation. In this chapter we will discuss how to manage a successful NGS pipeline from the planning of sequencing projects through the choice of the platforms up to the data analysis management.

Study facts

Organism
Platform
pyrosequencing
Age group
paediatric
Disease groups
Anatomical sites

Data availability

Specific data assets have not been resolved from the source yet — see the source repository below for the full file listing.

Strengths & limitations for reuse

Strengths

  • Feature/OTU tables are advertised

Limitations

  • Not documented: raw reads are advertised
  • Not documented: taxonomic tables are advertised
  • Not documented: participant counts are documented
Extraction evidence & provenance

Each extracted field is shown with the source excerpt and location used to resolve it.

Assay

FieldValueEvidence
assay.platform pyrosequencing
Microbiota phylotyping and diversity were performed by pyrosequencing

Section study.description, offset 280

assay.sequencing_type amplicon_16s
16S rRNA V1-V3 region

Section study.description, offset 300

assay.target_region V1-V3
pyrosequencing the 16S rRNA V1-V3 region

Section study.description, offset 300

Cohort

FieldValueEvidence
cohort.age_group paediatric
Gut microbiota has a critical role in the mechanisms of pediatric inflammatory bowel disease (IBD).

Section study.description, offset —

Data_Assets

FieldValueEvidence
data_assets.feature_or_otu_table True
computing microbial ecology by QIIME (v.1.8.0) to elaborate operational taxonomic units (OTUs) and their richness.

Section study.description, offset 350

data_assets.pipeline_or_tool_versions True
computing microbial ecology by QIIME (v.1.8.0)

Section study.description, offset 350

Specimens

FieldValueEvidence
specimens.body_site fecal
In this project, fecal microbiota was evaluated

Section study.description, offset 140

specimens.sample_type stool
In this project, fecal microbiota was evaluated in Crohn's disease (CD) and ulcerative colitis (UC) patients

Section study.description, offset 140