Syllabus

IITB’s academic calendar is here and holiday calendar is here.

A playlist of in-class recordings is here.

Week Day Topic Slides Hands-on Readings
1 Jul 28, Mon
  1. Introduction to the course
πŸ”– πŸ“š πŸ“š πŸ“š
1 Jul 31, Thu
  1. A short introduction to molecular biology
πŸ”– πŸ’» πŸ“šπŸ“šπŸ“šπŸ“š
2 Aug 04, Mon
  1. Sequences: Probability & Statistics
πŸ”–
2 Aug 07, Thu
  1. Sequences: Statistics & Alignment
πŸ”–
3 Aug 11, Mon
  1. Sequences: Global Alignment
πŸ”– πŸ“š
3 Aug 14, Thu
  1. Sequences: Local Alignment and Database Search
πŸ”– πŸ“šπŸ“š
4 Aug 18, Mon Guest Lecture
4 Aug 21, Thu
  1. Alignment Review & Sequencing by Synthesis
πŸ”– πŸ’» πŸ“š
5 Aug 25, Mon
  1. Sequencing 3.0
πŸ”– πŸ“šπŸ“š
5 Aug 28, Thu
  1. DNA mapping algorithms
πŸ”–
6 Sep 01, Mon
  1. Hands on DNA-seq
πŸ”–

πŸ’»

πŸ’»

6 Sep 04, Thu
  1. DNA mapping algorithms II
πŸ”–
7 Sep 08, Mon
  1. RNA-sequencing
πŸ”–
7 Sep 11, Thu
  1. RNA-seq: Quantification and HandsOn
πŸ”– πŸ’»
8 Sep 15, Mon

MidSem Exam (Closed book/notes)

6:30 PM - 8:30PM

LC101

Venue map

8 Sep 18, Thu Midsem Week
9 Sep 22, Mon
  1. RNA-seq: Dimensionality reduction
9 Sep 25, Thu
  1. RNA-seq: Hypothesis testing
10 Sep 29, Mon
  1. RNA-seq: HandsOn
10 Oct 02, Thu Institute Holiday
11 Oct 06, Mon
  1. Single-cell RNA-seq
11 Oct 09, Thu
  1. Single-cell: Hands-On
12 Oct 13, Mon
  1. Sequencing the epigenome and Hands-On
12 Oct 16, Thu
  1. β€˜CRISPRing’ the genome
13 Oct 20, Mon Institute Holiday
13 Oct 23, Thu
  1. Perturb-seq: Hands-On
14 Oct 27, Mon
  1. Spatial transcriptomics
14 Oct 30, Thu
  1. Spatial: Hands-On
15 Nov 03, Mon
  1. Genome wide association studies
15 Nov 06, Thu
  1. GWAS: Hands-On
16 Nov 10, Mon
  1. Course Review

Suggested readings

  1. Molecular Biology for Computer Scientists by Lawerence Hunter
  2. Genomes by TA Brown
  3. Computational Genome Analysis by Richard C. Deonier , Michael S. Waterman , and Simon TavarΓ©
  4. Bioinformatics Algorithms by Phillip Compeau and Pavel A. Pevzner
  5. Modern Statistics for Modern Biology by Susan Holmes and Wolfgang Huber
  6. Data Analysis for the Life Sciences by Rafael A Irizarry and Michael I Love