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Searching more genomic sequence with less memory for fast and accurate metagenomic profiling

2016-01-14

Abstract excerpt

Software for rapid, accurate, and comprehensive microbial profiling of metagenomic sequence data on a desktop will play an important role in large scale clinical use of metagenomic data. Here we describe LMAT-ML (Livermore Metagenomics Analysis Toolkit-Marker Library) which can be run with 24 GB of DRAM memory, an amount available on many clusters, or with 16 GB DRAM plus a 24 GB low cost commodity flash drive (NV...

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Identifiers and source

Literature Corpus work
7fdb0016-1de9-5ec8-b4c2-ce75b9651904
DOI
10.1101/036681
Open publication

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