Microbiome
Uncover, Analyze, Understand Microbial Worlds
Delve into the intricate ecosystems of microbial communities with advanced data analysis and visualization techniques. Whether you’re exploring gut health, environmental ecosystems, or agricultural impacts, unlock the full potential of your microbiome data. Learn how to harness Python tools to transform complex datasets into actionable insights, driving innovation in health, agriculture, and ecology.
Dive into Microbiome Analysis Steps
For an in-depth exploration, visit our individual GitHub Pages repositories dedicated to specific microbiome major analysis steps. Click on each repository in the table below to access project details and code.
Work in Progress. We appreciate your patience!
| IMAP-Repo | Description | GH-Pages |
|---|---|---|
| OVERVIEW | IMAP project overview | Link |
| IMAP 01 | Software requirement for microbiome data analysis with Snakemake workflows | Link |
| IMAP 02 | Downloading and exploring microbiome sample metadata from SRA Database | Link |
| IMAP 03 | Downloading and filtering microbiome sequencing data from SRA database | Link |
| IMAP 04 | Quality Control of Microbiome Next Generation Sequencing Reads | Link |
| IMAP 05 | Microbial profiling using MOTHUR and Snakemake workflows | Link |
| IMAP 06 | Microbial profiling using QIIME2 and Snakemake workflows | Link |
| IMAP 07 | Processing Output from 16S-Based microbiome bioinformatics pipelines | Link |
| IMAP 08 | Exploratory Analysis of 16S-Based Microbiome Processed Data | Link |
Beyond Analysis: Personalized Consulting
Elevate your microbiome endeavors with our consulting services. Whether you’re in healthcare, agriculture, or environmental research, our experts provide personalized guidance and insights tailored to your specific objectives.
Collaborate, Learn, and Advance
We invite researchers, scientists, and enthusiasts to join us in continuously exploring microbiome data. Collaborate with our community, participate in discussions, and stay updated on the latest advancements in microbial research.
Microbiome Data Analysis Services
We assist you in getting started with the analysis process. Our support includes helping you install the necessary tools essential for microbiome data analysis
Together we will carefully assess the information associated with each sample. You will be able to decide what samples to include or exclude before the analysis.
Assessing read quality is the most crucial step. We give you feedback on any issues that require your attention before proceeding with further analysis.
We use proven methods and pre-trained classifiers to assign a taxonomic identity to each sequence. You may opt to use customized classifiers.
We classify the microbial community at Kingdom, Phylum, Class, Order, Family, Genus, and Species levels. You may review the results and suggest changes.
An insight into microbiome data starts by exploring the microbial abundance. The famous OTU table is subjected to a series of exploratory transformation.
We use special calculators to estimate the diversity of species richness and evenness within a sample (alpha diversity) and across samples (beta diversity).
An image is worth a thousand words! Explore the trends, outliers and patterns. We create static & interactive images to provide more in-depth insights into your data.
We assist users in mastering Phylogenetic Analysis techniques. This shades light in understanding the Operational Taxonomic Units (OTUs) associations.
Uncovering hidden associations is facilitated by exploring correlations between variables, with pairwise networks being the optimal method for this discovery.
Statistical analysis facilitates the identification of significant features. We carefully select the best solutions for comparing metrics within and between groups.
We go beyond traditional analysis to empower you in Microbial Predictive Modeling, leveraging machine learning techniques and precision.