4 Topic Commentaries

AI Takes Aim at Genome Assembly

AI Takes Aim at Genome Assembly

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  Giulia Guidi, PhD

  High-performance computing for computational biology

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  Cornell University, Ann S. Bowers College of Computing and Information Science

  Sequence alignment is an extremely important and compute-intensive part of basically any computational biology workload,”

  Source
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  Brian Hie, PhD

  Computational genomics and synthetic biology

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  Stanford University

  Evo puts the genomes of whole lifeforms within reach and accelerates the bioengineering design process.

  Source
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  Jian Ma, PhD

  Machine learning for genome structure and function

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  Carnegie Mellon University

  ChromoGen provides a new framework for AI-driven discovery of genome folding principles and demonstrates that generative AI can bridge genomic and epigenomic features

  Source
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  Pavel Pevzner, PhD

  Genome assembly algorithms and computational genomics

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  University of California San Diego

  Assembling a single genome is not enough to drive biological discovery,”

  Source