Keeping up with the genomes: efficient learning of our increasing knowledge of the tree of life
Abstract Background It is a computational challenge for current metagenomic classifiers to keep up with the pace of training data generated from genome sequencing projects, such as the exponentially-growing NCBI RefSeq bacterial genome database. When new reference sequences are added to training dat...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-09-01
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Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s12859-020-03744-7 |