Training Foundations & programming

R for Bioinformatics: hands-on programming for biological data

A two-week live program that teaches R from the ground up for biological data: data structures, programming, visualization, statistics and sequence analysis with Bioconductor. No prior coding is needed, and an instructor guides you through every step.

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  • 2 weeksMon–Fri, live online
  • 7:15–8:15 PMIST, 1 hour a day
  • 8 modulesHands-on in R

Next cohort

3–17 Nov 2026

  • Registration closes2 Nov 2026
  • ScheduleMon–Fri · 7:15–8:15 PM IST
  • ModeLive online
  • SeatsLimited
Enroll in this cohort

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Curriculum

R programming, from basics to Bioconductor

Eight modules that build step by step, from your first R script to analyzing sequences with Bioconductor. No prior coding is needed.

RRStudioBioconductorBiostrings

01

Getting started with R and RStudio

Overview of R, setting up R and RStudio, and the essential tools you will use. Tools: R, RStudio.

02

Data structures in R

Vectors, matrices and other core structures, plus biology-specific data types. Tool: Biostrings.

03

Writing and executing R code

Working in the console, writing scripts and debugging your code.

04

Looping and control flow

Loops, conditional statements and vectorization.

05

Functions in R

Writing modular, reusable code and functional programming.

06

Data visualization

Basic and advanced plots for bioinformatics data.

07

Statistical analysis in R

Applying statistical methods to biological datasets.

08

Sequence analysis with Bioconductor

Reading and analyzing biological sequences with Bioconductor packages. Tools: Bioconductor, Biostrings.

Who should apply

Eligibility

  • Students in B.Sc., B.Tech., M.Sc., M.Tech. or PhD programs in life sciences or computer science
  • Postdocs and research scholars
  • Teaching and industry professionals

What’s included

Program benefits

  • Live, instructor-led sessions
  • Recordings of every session
  • Workshop materials
  • Certificate
  • Online technical support after the workshop

Fees & enrollment

Fees and how to enroll

One fee covers all live sessions, recordings, materials and the certificate. Taking NGS Data Analysis too? See the NGS + R package. Enrolling takes two steps:

  1. Pay the fee for your category using UPI, bank transfer, card or PayPal.
  2. Register with your transaction / UTR ID, a payment screenshot and an ID for your fee category.
CategoryIndia (INR)International (USD)
Students (up to Master’s)₹2,250USD 40
PhD scholars₹2,500USD 45
Postdocs / research scholars₹2,750USD 50
Staff / faculty₹3,000USD 60
Industry professionals₹3,500USD 65
USD fees apply to anyone living, working or studying outside India.

Step 1

Pay the fee

India

UPI or bank transfer

Scan with any UPI app

UPI ID

centreofbioinformaticsresearch@cnrb

Pay with a UPI app

Google Pay, PhonePe, Paytm, BHIM or your bank app. Enter the fee for your category.

Bank transfer (NEFT / IMPS / RTGS)
Account name
Centre of Bioinformatics Research and Technology
Account no.
120023770387
Bank
Canara Bank, Kelangar, Aligarh
IFSC
CNRB0002336

International

Card or PayPal

Credit or debit card (Razorpay)

PayPal

International bank transfer (SWIFT)
Account name
Centre of Bioinformatics Research and Technology
Account no.
120023770387
Bank
Canara Bank, Kelangar, Aligarh, India
SWIFT
CNRBINBBBFD

After paying: keep your transaction / UTR ID and a screenshot of the payment. You’ll need both to register.

Step 2

Register after paying

Fill in the registration form with your transaction / UTR ID, payment screenshot and an ID for your fee category (for example, a student ID). You’ll be asked to choose your Google account first — needed to upload files.

Register for R for Bioinformatics
No Google account? WhatsApp us

Teaching team

Course instructors

ANAnchal NegiBioinformatician, CBIRT

TADr. Tamanna AnwarFounder, CBIRT

Format

How the course runs

  • Dates3–17 Nov 2026
  • SessionsMon–Fri, 7:15–8:15 PM IST
  • PlatformGoogle Meet (live)
  • Missed a session?Recordings provided

FAQ

Course questions

Do I need coding experience or prerequisites?

No. This is a foundation course: no prior coding or bioinformatics experience is needed.

What will I need on my computer?

A computer running Windows 10/11, macOS or Linux, with a reliable internet connection. R and RStudio are free, and setting them up is covered in the first module. Google Meet runs in your web browser.

What if I miss a live session?

Every session is recorded, and you get access to the recordings.

Will I get a certificate?

Yes. The certificate is awarded on completing the course assignment.

How do I pay and register?

Pay the fee for your category first (UPI, bank transfer, card or PayPal), then fill in the registration form with your transaction ID, payment screenshot and category ID. See Fees and how to enroll. For help, email info@cbirt.net or message us on WhatsApp.

Questions about R for Bioinformatics?

Ask about prerequisites, fees or the schedule on WhatsApp or by email.

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