Ontology highlight
ABSTRACT: Background
Alignment-free (AF) sequence comparison is attracting persistent interest driven by data-intensive applications. Hence, many AF procedures have been proposed in recent years, but a lack of a clearly defined benchmarking consensus hampers their performance assessment.Results
Here, we present a community resource (http://afproject.org) to establish standards for comparing alignment-free approaches across different areas of sequence-based research. We characterize 74 AF methods available in 24 software tools for five research applications, namely, protein sequence classification, gene tree inference, regulatory element detection, genome-based phylogenetic inference, and reconstruction of species trees under horizontal gene transfer and recombination events.Conclusion
The interactive web service allows researchers to explore the performance of alignment-free tools relevant to their data types and analytical goals. It also allows method developers to assess their own algorithms and compare them with current state-of-the-art tools, accelerating the development of new, more accurate AF solutions.
SUBMITTER: Zielezinski A
PROVIDER: S-EPMC6659240 | biostudies-literature | 2019 Jul
REPOSITORIES: biostudies-literature
Zielezinski Andrzej A Girgis Hani Z HZ Bernard Guillaume G Leimeister Chris-Andre CA Tang Kujin K Dencker Thomas T Lau Anna Katharina AK Röhling Sophie S Choi Jae Jin JJ Waterman Michael S MS Comin Matteo M Kim Sung-Hou SH Vinga Susana S Almeida Jonas S JS Chan Cheong Xin CX James Benjamin T BT Sun Fengzhu F Morgenstern Burkhard B Karlowski Wojciech M WM
Genome biology 20190725 1
<h4>Background</h4>Alignment-free (AF) sequence comparison is attracting persistent interest driven by data-intensive applications. Hence, many AF procedures have been proposed in recent years, but a lack of a clearly defined benchmarking consensus hampers their performance assessment.<h4>Results</h4>Here, we present a community resource (http://afproject.org) to establish standards for comparing alignment-free approaches across different areas of sequence-based research. We characterize 74 AF m ...[more]