GUT MICROBIOTA IN IBD PATIENTS
Download from source ↗Dataset overview
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
| Field | Value | Evidence |
|---|---|---|
assay.platform |
pyrosequencing |
Microbiota phylotyping and diversity were performed by pyrosequencing Section |
assay.sequencing_type |
amplicon_16s |
16S rRNA V1-V3 region Section |
assay.target_region |
V1-V3 |
pyrosequencing the 16S rRNA V1-V3 region Section |
Cohort
| Field | Value | Evidence |
|---|---|---|
cohort.age_group |
paediatric |
Gut microbiota has a critical role in the mechanisms of pediatric inflammatory bowel disease (IBD). Section |
Data_Assets
| Field | Value | Evidence |
|---|---|---|
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 |
data_assets.pipeline_or_tool_versions |
True |
computing microbial ecology by QIIME (v.1.8.0) Section |
Specimens
| Field | Value | Evidence |
|---|---|---|
specimens.body_site |
fecal |
In this project, fecal microbiota was evaluated Section |
specimens.sample_type |
stool |
In this project, fecal microbiota was evaluated in Crohn's disease (CD) and ulcerative colitis (UC) patients Section |