Sentence examples for classify reads from inspiring English sources

Nonetheless, this logistic regression framework can accurately classify reads as correctly or incorrectly mapped.

Additionally, Kraken [ 23] was used to classify reads using its standard database consisting of available NCBI genomes.

Similarity-based methods are unable to classify reads from unknown species without close references (which constitute the majority of reads).

After sorting reads by genome position, SNPs (Supplementary file 2) were used to classify reads by strain just like for mRNA-seq.

This paper presents a novel unsupervised algorithm to classify reads from different organisms in a metagenomic dataset, called BiMeta (i.e., A Binning algorithm for Metagenomic reads).

To classify reads that did not map to miRNAs in miRBase, we mapped the remaining reads to multiple databases in order to distinguish alternative read sources.

In terms of absolute numbers of correctly classified reads, V4 is better than V3, which in turn is better than V6.

The number of classified reads was similar between the three methods, except for BLAT/11occ/fastMap, which classified fewer reads.

TOSS [ 27] is another hybrid algorithm which classifies reads basing on the classification of l-mers.

AbundanceBin classifies reads, but it does not separate genomes with similar abundance levels.

Unsupervised methods for classifying reads are sometimes also referred to as clustering or binning methods [ 12][ 13].