Metabolomics Training

Liquid chromatography–mass spectrometry (LC–MS) is a core analytical platform in metabolomics due to its high sensitivity, wide metabolite coverage (especially polar and moderately polar compounds), and adaptability via different column chemistries and ionization modes. Untargeted LC–MS workflows aim to profile the metabolome comprehensively, offering insights into phenotypes and metabolic regulation.
LC–MS stands out in metabolomics for its: Excellent sensitivity and dynamic range, Broad metabolite coverage, including polar and semi-polar molecules,High flexibility in chromatography and ionization strategies.

ArrayGen Technologies is a leading bioinformatics company based in Pune, Maharashtra, India, specializing in Liquid Chromatography–Mass Spectrometry (LC–MS)-based metabolomics. The company offers comprehensive services in data acquisition, processing, and analysis, catering to researchers and institutions in the life sciences sector.
Learners will understand how LC–MS enables sensitive and comprehensive metabolite analysis, appreciate its flexibility in metabolomics workflows, and Understand the fundamental principles and advantages of Liquid Chromatography–Mass Spectrometry (LC–MS) in metabolomics.

👉 Enroll now and take the first step toward a future in data-driven biology and beyond.

## 10% Discount if you register before 15th October, 2025. Hurry up!!

Course Information

Course

Metabolomics-LCMS

Duration

Online - 15 Days Training [ 2 Hours Daily [ Monday To Friday ] ]

Slots

Our working Time is 9:00 AM to 6:00 PM Indian Time Available slots - 9:00 AM to 11:00 AM / 11:00 AM to 1:00 PM / 2:00 PM to 4:00 PM / 4:00 PM to 6:00 PM
For training slots after 6 PM or before 9 am as well as weekends training kindly mention during registration accordingly it will be scheduled.

Mode

👉 For online training candidate have to install ZOOM (with remote control on candidate system which makes 100% interactive)
👉 Run time video recording candidate can make as well as pdf manual will be provided for future reference.
👉 All our training is 100% practical and 100% industrial and 100% interactive which provides same as offline learning.
👉 For doubt clear there will be extra support will be provided based on the requirement.
👉 Certificate will be provided
Training Fees

Raw Data

Candidate can include their own Maximum 4 datasets(.mzXML)

Module-1

LC-MS/MS Metabolomics Workflow with R

Topics

    📘 R Programming
    - Understanding R and Key Features of R for Scientific Computing
    - R Data Types
    - R Objects and Data Structures
    - Control Structures
    - Functions in R
    - File Handling in R
    - Working with Packages Using CRAN and Bioconductor
    - Data Visualization with ggplot2

    📘 Data Pre-processing
    - Outlier screening
    - Baseline correction
    - Peak detection
    - Peak matching & retention time alignment
    - Ion annotation
    - Normalization of peak intensities

    📘 Exploratory Data Analysis (EDA)
    - Univariate analysis: ANOVA
    - Multivariate analysis: PCA and PLS-DA
    - Visualization: heatmaps, volcano plots

    📘 Metabolite Identification & Quantification
    - Metabolite identification via MS/MS matching
    - Quantification

    📘 Differential Analysis
    - Heatmap and volcano plots

    📘 Functional Analysis
    - Enrichment analysis (Metabolite Set Enrichment Analysis)
    - Pathway analysis

Preparation

- NCBI :https://pmc.ncbi.nlm.nih.gov/articles/PMC3699692/
- R and Bioconductor: www.bioconductor.org/install
- R Studio: https://www.rstudio.com/products/rstudio/download3/

Instructor

Industry Experienced

Target Audiance

This course is designed for graduate students, postdoctoral researchers, and professionals working in the fields of conservation biology, evolutionary genomics, and population genetics or any life sciences who are interested in applying genomic tools to real-world conservation challenges.

Contact

Please write us at info@arraygen.com or call or whatsapp us on mobile +91-9673625446 if you need any clarification or for any custom training based on candidate reference paper or candidate own content/tools.