Alignment-free sequence comparison: benefits, applications, and tools
By Andrzej Zielezinski, Susana Vinga, Jonas S. Almeida, W. Karłowski. Genome Biology, 2017
489 citations recorded by the source corpus.
Alignment-free sequence analyses have been applied to problems ranging from whole-genome phylogeny to the classification of protein families, identification of horizontally transferred genes, and detection of recombined sequences. The strength of these methods makes them particularly useful for next-generation sequencing data processing and analysis. However, many researchers are unclear about how these methods work, how they compare to alignment-based methods, and what their potential is for use for their research. We address these questions and provide a guide to the currently available alignment-free sequence analysis tools.
Subfields: Artificial Intelligence, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/5e3bc176613e72dac2c9665263873032e6a9bee0
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Citations in the corpus
- Machine learning using intrinsic genomic signatures for rapid classification of novel pathogens: COVID-19 case study (2020, background): “similarities, their application can be challenging in many cases [45, 46].”