Searching journal content for articles similar to Kim et al. 26 (12): 1721.

Displaying results 1-10 of 16
For checked items
  1. .... Consequently, understanding the diversity in terms of strains in microbial communities is crucial, as variations between strains can lead to different phenotypic expressions or diverse biological functions. However, current methods for taxonomic classification from metagenomic sequencing data have several...
  2. ...-source software tool that enables real-time analysis, visualization, and exploration of metagenomic sequencing data. MARTi allows users to choose a classification method (Kraken2, Centrifuge, BLAST [Camacho et al. 2009], or DIAMOND [Buchfink et al. 2021]), customize classification parameters, and provide...
  3. ..., Gainesville, Florida 32611, USA Corresponding author: langmea@cs.jhu.eduAbstractTaxonomic sequence classification is a computational problem central to the study of metagenomics and evolution. Advances in compressed indexing with the r-index enable full-text pattern matching against large sequence collections...
  4. ...-sampling approach for metagenomic classification of short reads (Wood et al. 2019; Piro et al. 2020). However, Edgar (2021) recently showed that syncmers are more sensitive for selecting conserved k-mers in biological sequences, and Dutta et al. (2022) could also improve long-read mapping by using OCSs instead...
  5. ....24.8.1900118 ↵Kim D, Song L, Breitwieser FP, Salzberg SL. 2016. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Res 26: 1721–1729. doi:10.1101/gr.210641.116 ↵Li H. 2018. Minimap2: pairwise alignment for nucleotide sequences. Bioinformatics 34: 3094–3100. doi:10.1093/bioinformatics...
  6. ..., Auch AF, Qi J, Schuster SC. 2007. MEGAN analysis of metagenomic data. Genome Res 17: 377–386. ↵Kim D, Song L, Breitwieser FP, Salzberg SL. 2016. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Res 26: 1721–1729. ↵Leinonen R, Sugawara H, Shumway M, International...
  7. ...take advantage of any Galaxy tools to further process these data. Conclusion The explosive growth of metagenomics in the past 2–3 yr can be mainly attributed to the rapid proliferation of massively parallel sequencing technologies. This trend is almost certain to continue, and as a result, the future...
  8. ..., ejecting the fragment (Payne et al. 2021). NAS increases target sequence yield by rejecting nontarget DNA, increasing the sensitivity for detecting of sequences of interest (Payne et al. 2021; Weilguny et al. 2023). This makes NAS well-suited for metagenomics, the culture-free DNA sequencing-based analysis...
  9. ..., Salzberg SL. 2016. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Res 26: 1721–1729. doi:10.1101/gr.210641.116 ↵Kipp EJ, Lindsey LL, Milstein MS, Blanco CM, Baker JP, Faulk C, Oliver JD, Larsen PA. 2023. Nanopore adaptive sampling for targeted mitochondrial sequencing...
  10. ...prokaryotic s reveals clear species boundaries. Nat Commun 9: 5114. doi:10.1038/s41467-018-07641-9 ↵Kim D, Song L, Breitwieser FP, Salzberg SL. 2016. Centrifuge: rapid and sensitive classification of metagenomic sequences. Genome Res 26: 1721–1729. doi:10.1101/gr.210641.116 ↵Kovaka S, Fan Y, Ni B, Timp W...
For checked items

Preprint Server