Gene assembly is an important step in functional analysis of shotgun metagenomic data. Nonetheless, strain aware assembly remains a challenging task, as current assembly tools often fail to distinguish among strain variants or require closely related reference genomes of the studied species to be available. We have developed Snowball, a novel strain aware and reference-free gene assembler for shotgun metagenomic data. It uses profile hidden Markov models (HMMs) of gene domains of interest to guide the assembly. Our assembler performs gene assembly of individual gene domains based on read overlaps and error correction using read quality scores at the same time, which result in very low per-base error rates. The software runs on a user-define...
Motivation: A high-quality assembly of reads generated from shotgun sequencing is a substantial step...
Background Short-read shotgun metagenomics can offer comprehensive microbial detection and character...
In an effort to evaluate methods used to analyse metagenomes, we constructed three synthetic metagen...
htmlabstractGene assembly is an important step in functional analysis of shotgun metagenomic data. N...
textabstractMotivation: Gene assembly is an important step in functional analysis of shotgun metagen...
Gene assembly is an important step in functional analysis of shotgun metagenomic data. Nonetheless, ...
Shotgun metagenomics has greatly advanced our understanding of microbial communities over the last d...
BackgroundMetagenomics can provide important insight into microbial communities. However, assembling...
Metagenome data sets present a qualitatively different assembly problem than traditional single-orga...
BackgroundMetagenomics allows unprecedented access to uncultured environmental microorganisms. The a...
Abstract Background Metagenomics allows unprecedented access to uncultured environmental microorgani...
Abstract Background Despite constantly improving genome sequencing methods, error-free eukaryotic ge...
Abstract We introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de nov...
MotivationCombining a 16S rRNA (16S) gene database with metagenomic shotgun sequences promises unbia...
We introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de novo, from m...
Motivation: A high-quality assembly of reads generated from shotgun sequencing is a substantial step...
Background Short-read shotgun metagenomics can offer comprehensive microbial detection and character...
In an effort to evaluate methods used to analyse metagenomes, we constructed three synthetic metagen...
htmlabstractGene assembly is an important step in functional analysis of shotgun metagenomic data. N...
textabstractMotivation: Gene assembly is an important step in functional analysis of shotgun metagen...
Gene assembly is an important step in functional analysis of shotgun metagenomic data. Nonetheless, ...
Shotgun metagenomics has greatly advanced our understanding of microbial communities over the last d...
BackgroundMetagenomics can provide important insight into microbial communities. However, assembling...
Metagenome data sets present a qualitatively different assembly problem than traditional single-orga...
BackgroundMetagenomics allows unprecedented access to uncultured environmental microorganisms. The a...
Abstract Background Metagenomics allows unprecedented access to uncultured environmental microorgani...
Abstract Background Despite constantly improving genome sequencing methods, error-free eukaryotic ge...
Abstract We introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de nov...
MotivationCombining a 16S rRNA (16S) gene database with metagenomic shotgun sequences promises unbia...
We introduce STrain Resolution ON assembly Graphs (STRONG), which identifies strains de novo, from m...
Motivation: A high-quality assembly of reads generated from shotgun sequencing is a substantial step...
Background Short-read shotgun metagenomics can offer comprehensive microbial detection and character...
In an effort to evaluate methods used to analyse metagenomes, we constructed three synthetic metagen...