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SKESA: strategic k-mer extension for scrupulous assemblies
by
Lipman, David J.
, Agarwala, Richa
, Souvorov, Alexandre
in
Algorithms
/ Animal Genetics and Genomics
/ Archives & records
/ Base Pairing - genetics
/ Base Sequence
/ Bioinformatics
/ Biomedical and Life Sciences
/ Contamination
/ De-novo assembly
/ DeBruijn graphs
/ design
/ Evolutionary Biology
/ genome
/ Genomes
/ high-throughput nucleotide sequencing
/ Human Genetics
/ Illumina reads
/ Life Sciences
/ Listeria
/ microbial detection
/ Microbial Genetics and Genomics
/ Plant Genetics and Genomics
/ Quality
/ reading
/ Sequence Analysis, DNA - methods
/ Sequence quality
/ Software
/ Time Factors
2018
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SKESA: strategic k-mer extension for scrupulous assemblies
by
Lipman, David J.
, Agarwala, Richa
, Souvorov, Alexandre
in
Algorithms
/ Animal Genetics and Genomics
/ Archives & records
/ Base Pairing - genetics
/ Base Sequence
/ Bioinformatics
/ Biomedical and Life Sciences
/ Contamination
/ De-novo assembly
/ DeBruijn graphs
/ design
/ Evolutionary Biology
/ genome
/ Genomes
/ high-throughput nucleotide sequencing
/ Human Genetics
/ Illumina reads
/ Life Sciences
/ Listeria
/ microbial detection
/ Microbial Genetics and Genomics
/ Plant Genetics and Genomics
/ Quality
/ reading
/ Sequence Analysis, DNA - methods
/ Sequence quality
/ Software
/ Time Factors
2018
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Do you wish to request the book?
SKESA: strategic k-mer extension for scrupulous assemblies
by
Lipman, David J.
, Agarwala, Richa
, Souvorov, Alexandre
in
Algorithms
/ Animal Genetics and Genomics
/ Archives & records
/ Base Pairing - genetics
/ Base Sequence
/ Bioinformatics
/ Biomedical and Life Sciences
/ Contamination
/ De-novo assembly
/ DeBruijn graphs
/ design
/ Evolutionary Biology
/ genome
/ Genomes
/ high-throughput nucleotide sequencing
/ Human Genetics
/ Illumina reads
/ Life Sciences
/ Listeria
/ microbial detection
/ Microbial Genetics and Genomics
/ Plant Genetics and Genomics
/ Quality
/ reading
/ Sequence Analysis, DNA - methods
/ Sequence quality
/ Software
/ Time Factors
2018
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SKESA: strategic k-mer extension for scrupulous assemblies
Journal Article
SKESA: strategic k-mer extension for scrupulous assemblies
2018
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Overview
SKESA is a DeBruijn graph-based de-novo assembler designed for assembling reads of microbial genomes sequenced using Illumina. Comparison with SPAdes and MegaHit shows that SKESA produces assemblies that have high sequence quality and contiguity, handles low-level contamination in reads, is fast, and produces an identical assembly for the same input when assembled multiple times with the same or different compute resources. SKESA has been used for assembling over 272,000 read sets in the Sequence Read Archive at NCBI and for real-time pathogen detection. Source code for SKESA is freely available at
https://github.com/ncbi/SKESA/releases
.
Publisher
BioMed Central,Springer Nature B.V,BMC
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