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Lecture Notes in Genome Bioinformatics

Lecture Notes in Genome Bioinformatics

Subhashini Srinivasan

The first and most comprehensive eight credit genome bioinformatics curriculum developed and delivered by Prof. Subhashini Srinivasan over the last 15 years at IBAB. The curriculum comprises 8 chapters presented as 22 chapter-wise podcasts, offering a complete journey through the principles, algorithms, tools, and applications of genome bioinformatics.

5 - Chapter 4.1: Assembly Algorithms in Genome Bioinformatics
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  • 5 - Chapter 4.1: Assembly Algorithms in Genome Bioinformatics

    Imagine a machine that could walk along the 2-meter-long DNA molecules packed inside the nucleus of every cell and report the identity of every base it encounters. There would be little need for genome assembly and much of this chapter would become unnecessary. Sequencing machines can accurately read only a limited stretch of DNA before the signal becomes too noisy. If a machine can reliably read 100–200 bases before it begins to “blabber,” the result is a short sequencing read, such as the a...

    Mon, 14 Sep 2026
  • 4 - Chapter 8: Lecture Notes in Genome Bioinformatics

    This chapter chronicles the efforts of faculty members to build an experiential learning curriculum at IBAB when next-generation sequencing (NGS) was still in its infancy. Building research programs alongside teaching created an extraordinary opportunity for students to engage in real-world problem-solving at a time when computational tools were limited, yet scientific ambitions ran high. It describes the challenges of selecting and pursuing projects that addressed important biological and so...

    Sat, 12 Sep 2026
  • 3 - Chapter 2 from Lecture Notes in Bioinformatics

    Understanding the genetic elements that govern biological function is critical for deciphering how perturbations in these elements can alter phenotype, leading to disease in humans or desirable traits in plants. Chapter 2 establishes the fundamental biological framework required to analyze high-throughput genomic data and link causative genotypes to biological phenotypes.

    Fri, 11 Sep 2026
  • 2 - Chapter 7 from Lecture Notes in Genome Bioinformatics

    Demystifying the myth that modern AI will solve all biological problems and turn everyone into a bioinformatics-savvy biologist. This chapter exposes readers to the importance of understanding the concepts behind genome bioinformatics in the era of AI.

    Fri, 11 Sep 2026
  • 1 - Chapter 1 from Lecture Notes in Genome Bioinformatics

    Introduction to the scope on the book.

    Fri, 11 Sep 2026

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