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ETH Zürich: Algorithms and Architectures for Computational Genomics →0/17
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Lecture 1: Course Introduction (ETH-GENOMICS)

35:46
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Lecture 2: Introduction to Genome Analysis (ETH-GENOMICS)

55:39
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Lecture 3: From Molecules to Data: An Overview of DNA Sequencing Technologies (ETH-GENOMICS)

50:00
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Lecture 4: Fundamentals of Sequence Search and Alignment (ETH-GENOMICS)

1:04:09
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Lecture 5: Building the Blueprint of Life: Genome Assembly (ETH-GENOMICS)

47:32
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Lecture 6a: GateKeeper (ETH-GENOMICS)

59:28
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Lecture 6b: SneakySnake (ETH-GENOMICS)

44:51
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Lecture 6c: GRIM-Filter (ETH-GENOMICS)

24:50
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Lecture 7a: GenASM (ETH-GENOMICS)

35:00
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Lecture 7b: Scrooge (ETH-GENOMICS)

15:05
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Lecture 7c: SeGraM (ETH-GENOMICS)

50:23
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Lecture 8a: GenStore (ETH-GENOMICS)

34:19
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Lecture 8b: MegIS (ETH-GENOMICS)

27:46
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Lecture 9a: GenPIP (ETH-GENOMICS)

27:27
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Lecture 9b: TargetCall (ETH-GENOMICS)

21:38
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Lecture 10a: BLEND (ETH-GENOMICS)

56:07
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Lecture 10b: AirLift (ETH-GENOMICS)

25:59

Lecture 6b: SneakySnake (ETH-GENOMICS)

Can FirtinaETH Zürich

Professor

44:51·2025·graduate level

The lecture examines SneakySnake, a specialized accelerator designed to optimize Smith-Waterman sequence alignment, crucial for identifying local similarities in genomic data.

Systems & CSBio & NeuroGenetics & Molecular BiologyComputer ArchitectureAlgorithms & Data StructuresSmith-Waterman Algorithm

Project & Seminar (P&S), ETH Zürich, Spring 2025

Algorithm and Architecture Design for Genomics (https://safari.ethz.ch/projects_and_seminars/spring2025/doku.php?id=genome_seq_mobile)

Accelerating Genome Analysis (https://safari.ethz.ch/projects_and_seminars/spring2025/doku.php?id=bioinformatics)

Previous · Lecture 6

Lecture 6a: GateKeeper (ETH-GENOMICS)

Next · Lecture 8

Lecture 6c: GRIM-Filter (ETH-GENOMICS)

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