Syllabus

IITBโ€™s academic calendar is here and holiday calndar is here.

Week Day Topic Slides Hands-on Readings
1 Jul 28, Mon
  1. Introduction to the course
๐Ÿ“Š ๐Ÿ“š ๐Ÿ“š ๐Ÿ“š
1 Jul 31, Thu
  1. A short introduction to molecular biology
2 Aug 04, Mon
  1. Sequences: Probability & Statistics
2 Aug 07, Thu
  1. Sequences: Alignment
3 Aug 11, Mon
  1. Sequencing by Synthesis
3 Aug 14, Thu
  1. DNA mapping algorithms
4 Aug 18, Mon
  1. Hands on DNA-seq
4 Aug 21, Thu
  1. RNA-sequencing: Quantification algorithms
5 Aug 25, Mon
  1. RNA-sequencing: Normalization
5 Aug 28, Thu
  1. RNA-sequencing: Dimensionality reduction
6 Sep 01, Mon
  1. RNA-sequencing: Multiple Hypothesis testing
6 Sep 04, Thu
  1. RNA-sequencing: Hands-On
7 Sep 08, Mon
  1. Single-cell sequencing
7 Sep 11, Thu
  1. Single-cell: Hands-On
8 Sep 15, Mon Midsem Week โŒ โŒ โŒ
8 Sep 18, Thu Midsem Week โŒ โŒ โŒ
9 Sep 22, Mon
  1. Sequencing the epigenome
9 Sep 25, Thu
  1. Methylation: Hands-On
10 Sep 29, Mon
  1. Chip-Seq: Hands-On
10 Oct 02, Thu Institute Holiday
11 Oct 06, Mon
  1. โ€˜CRISPRingโ€™ the genome
11 Oct 09, Thu
  1. Perturb-seq: Hands-On
12 Oct 13, Mon
  1. Spatial transcriptomics
12 Oct 16, Thu
  1. Spatial: Hands-On
13 Oct 20, Mon Institute Holiday
13 Oct 23, Thu
  1. Genome wide association studies
14 Oct 27, Mon
  1. GWAS: Hands-On
14 Oct 30, Thu
  1. Course Review
15 Nov 03, Mon
  1. Project presentation 1
15 Nov 06, Thu
  1. Project presentation 2
16 Nov 10, Mon
  1. Project presentation 3

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 Tavarรฉ
  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