EMVC-2: an efficient single-nucleotide variant caller based on expectation maximization
Guillermo Dufort y Álvarez,
Martí Xargay-Ferrer,
Alba Pagès-Zamora
et al.
Abstract:Motivation
Single-nucleotide variants (SNVs) are the most common type of genetic variation in the human genome. Accurate and efficient detection of SNVs from next-generation sequencing (NGS) data is essential for various applications in genomics and personalized medicine. However, SNV calling methods usually suffer from high computational complexity and limited accuracy. In this context, there is a need for new methods that overcome these limitations and provide fast reliable results.
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