1. Project Information

📄 Project Information Page

This is the first page you see when you open the report file, is the page where you can check sample and group information analyzed at your service request, data results generated after NGS-based sequencing and Workflow Summary.

Project Information Page

Analysis Information

You can check sample and group information requested for analysis.

Project Information - Analysis Information
  • Sample Type : Type of analysis sample

  • Sample Count : Number of analyzed samples and raw data

  • Group Count : Number of analysis groups

  • Group Info : Detailed information about the analysis group and samples within the group (group name, number and name of samples within the group)

  • Note : Notes on analysis projects


Sequencing Information

You can check basic sequencing information for the analysis sample.

Project Information - Sequencing Information
  • Platform : 16S rRNA sequencing platform(e.g. Illumina Miseq)

  • Library Kit : 16S rRNA sequencing library preparation library kit

  • Library QC : Qualitative Kit for 16S rRNA sequencing(e.g. dsDNA 910 Reagent Kit, 35bp - 1,500bp (AATI))

  • Read Length : NGS run format(e.g. 300 Paired End)

  • Additional Info :

Library preparation guide
Miseq system protocol

Workflow Summary

Microbiome analysis is provided using data generated based on NGS. Perform basic analysis such as data filtering (Demultiplexing, Chimera filtering, etc.) and Feature Clustering using raw data generated based on the content written in Sequencing Information in the Project Information page, and additional analysis is performed to analyze the distribution of microbial flora by sample and group.

Project Information - Workflow Summary

Demultiplexing & Quality Filtering

  • Data filtering process to perform analysis

Feature Clustering & Taxonomy Assignment

  • Identifying microbial flora in data based on 3BIGS’s unique database that has been refined from various public databases

Diversity Analysis

  • Comparative analysis of the distribution of microbial flora between groups

  • Check the similarity of distribution of microbial flora for each sample

Additional Analysis

  • Prediction of molecular biological function according to microbial distribution

  • Provides a variety of additional analysis results frequently cited in papers