2016bioRxiv (Cold Spring Harbor Laboratory)Open access

PALADIN:Protein Alignment for Functional Profiling Whole Metagenome Shotgun Data

Anthony Westbrook, Jordan Ramsdell, Taruna Aggarwal, Louisa Normington, R. Daniel Bergeron, W. Kelley Thomas, Matthew D. MacManes

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Abstract

Abstract Whole metagenome shotgun sequencing is a powerful approach for assaying the functional potential of microbial communities. Presently, we lack tools that efficiently and accurately align DNA reads against protein references, the technique necessary for constructing a functional profile. Here, we present PALADIN—a novel modification of Burrows-Wheeler Aligner that provides more accurate alignment and orders-of-magnitude improved efficiency by directly mapping in protein space.

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Abstract Whole metagenome shotgun sequencing is a powerful approach for assaying the functional potential of microbial communities. Presently, we lack tools that efficiently and accurately align DNA reads against protein references, the technique necessary for constructing a functional profile. Here, we present PALADIN—a novel modification of Burrows-Wheeler Aligner that provides more accurate alignment and orders-of-magnitude improved efficiency by directly mapping in protein space.

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Available abstract

Abstract Whole metagenome shotgun sequencing is a powerful approach for assaying the functional potential of microbial communities. Presently, we lack tools that efficiently and accurately align DNA reads against protein references, the technique necessary for constructing a functional profile. Here, we present PALADIN—a novel modification of Burrows-Wheeler Aligner that provides more accurate alignment and orders-of-magnitude improved efficiency by directly mapping in protein space.

Key concepts: Shotgun, Metagenomics, Shotgun sequencing, Profiling (computer programming), Computational biology, Shotgun proteomics, Computer science, Data mining

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