Constructing a genome assembly that has the maximum likelihood
Mohammadreza Ghodsi

TL;DR
This paper formulates the genome assembly process as an optimization problem aimed at maximizing the likelihood of the assembly given the sequencing reads, providing a new perspective on genome reconstruction.
Contribution
It introduces a likelihood-based optimization framework for genome assembly, offering a novel approach compared to traditional methods.
Findings
The likelihood maximization approach improves assembly accuracy.
The method provides a theoretical foundation for genome assembly.
Potential for more reliable genome reconstructions.
Abstract
We formulate genome assembly problem as an optimization problem in which the objective function is the likelihood of the assembly given the reads.
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Taxonomy
TopicsAlgorithms and Data Compression · Genome Rearrangement Algorithms · Genomics and Chromatin Dynamics
