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Genome size and homozygosity were examined by k-mer analysis of the sequencing data.
We also filtered out a sequencing primer starting with "GATTACAGGCATGAGC", which we were able to identify after k-mer analysis of the data set.
A k-mer analysis of repetitive sequences in strains S2883 and NCYC3594.
K-mer analysis of single bacterial genome data has previously revealed differences in k-mer distribution between bacterial species [ 30].
The reported lengths of complete genome sequences may differ from size estimates by 21-mer analysis of read-sets because sequences, such as those encoded on multicopy plasmids, are represented in read data in proportion to their actual molecular quantities.
We propose that k-mer analysis of raw metagenome sequence reads should be implemented as a first quality assessment prior to more extensive bioinformatics analysis, such as sequence filtering and gene mapping.
Although the genome sizes determined by PFGE were similar to those estimated by 21-mer analysis of the short-read data, there remains some discrepancy between the two methods.
K-mer analysis of bacterial genomes was conducted with Jellyfish version 1.1 (http://www.cbcb.umd.edu/software/jellyfish/). The frequencies of different k-mers at each abundance value contained in a set of sequences are plotted as a k-mer abundance histogram.
We propose that k-mer analysis of raw metagenome sequence reads should be implemented as a first quality assessment of raw NGS data prior to filtering and gene mapping analysis.
4-mer analysis of raw metagenomes corresponding to dilution series samples (1 to 10.000 fold dilutions) of gut microbiota from donor #1 and #2 identified a biased 4-mer distribution for 1.000- and 10.000-fold dilution samples from both donor #1 and #2.
Deductions from this result suggest that 4-mer analysis of metagenomes of complex bacterial mixtures can be decomposed into a linear regression of k-mer distribution vectors of individual bacteria genomes and a residual, which would represent the component unexplained by known bacterial genomes.
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