HapSolo: An optimization approach for removing secondary haplotigs during diploid genome assembly
Jan 1, 2021·
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1 min read
Edwin Solares
Yutao Tao
Anthony D. Long
Brandon S. Gaut
Abstract
We present HapSolo, an optimization approach for removing secondary haplotigs during diploid genome assembly and scaffolding. HapSolo leverages artificial intelligence to improve genome assembly quality by identifying and removing redundant haplotype sequences.
Type
Publication
BMC Bioinformatics
HapSolo is a computational tool that uses optimization approaches to identify and remove secondary haplotigs from diploid genome assemblies, improving assembly quality and contiguity.
Key Features
- Optimization-based approach for haplotig identification
- Improves genome assembly quality
- Applicable to diverse diploid organisms
- Presented at Vertebrate Genome Project (Invited Speaker, 2020)
Impact
This methodology has been adopted by genome assembly projects worldwide for improving the quality of diploid genome assemblies.
Authors
Edwin Solares
(he/him)
Executive Director, ESB AI Lab Corporation
Executive Director of ESB AI Lab Corporation, a 501(c)(3) nonprofit advancing
research in AI, machine learning, computer vision, and genomics. Previously a
Lecturer at UC San Diego. My research harnesses AI and bioinformatics for food
security and species conservation. Published in Nature Plants, PNAS, Genome
Research, and G3 (h-index: 7).
Authors
Authors
Authors