Scaling metagenome sequence assembly with probabilistic de Bruijn graphs. - Wikidata - thesis-toulmin - TriplyDB

Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

http://www.wikidata.org/entity/Q36170818

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Tracking Strains in the Microbiome: Insights from Metagenomics and Models High-throughput metagenomic technologies for complex microbial community analysis: open and closed formats Computational meta'omics for microbial community studies Compressive biological sequence analysis and archival in the era of high-throughput sequencing technologies Compareads: comparing huge metagenomic experiments Metagenomic Assembly: Overview, Challenges and Applications Recovering complete and draft population genomes from metagenome datasets Walking the Talk: Adopting and Adapting Sustainable Scientific Software Development processes in a Small Biology Lab Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads--a baiting and iterative mapping approach FPSAC: fast phylogenetic scaffolding of ancient contigs.Prevention, diagnosis and treatment of high-throughput sequencing data pathologies.These are not the k-mers you are looking for: efficient online k-mer counting using a probabilistic data structure.Reference-free compression of high throughput sequencing data with a probabilistic de Bruijn graph.Bloom Filter Trie: an alignment-free and reference-free data structure for pan-genome storage The Genome of a Southern Hemisphere Seagrass Species (Zostera muelleri).Improving Bloom Filter Performance on Sequence Data Using k-mer Bloom Filters.Metagenomic search strategies for interactions among plants and multiple microbes.The genome and developmental transcriptome of the strongylid nematode Haemonchus contortus Insights into archaeal evolution and symbiosis from the genomes of a nanoarchaeon and its inferred crenarchaeal host from Obsidian Pool, Yellowstone National Park Microbial genomic analysis reveals the essential role of inflammation in bacteria-induced colorectal cancer.Fast lossless compression via cascading Bloom filters.Improved assemblies using a source-agnostic pipeline for MetaGenomic Assembly by Merging (MeGAMerge) of contigs.Scalable metagenomic taxonomy classification using a reference genome database FOAM (Functional Ontology Assignments for Metagenomes): a Hidden Markov Model (HMM) database with environmental focus Lighter: fast and memory-efficient sequencing error correction without counting.Identification of a metagenome-derived prephenate dehydrogenase gene from an alkaline-polluted soil microorganism.Phylogenetics and the human microbiome Disk-based k-mer counting on a PC.Rapid quantification of sequence repeats to resolve the size, structure and contents of bacterial genomes.Comparing memory-efficient genome assemblers on stand-alone and cloud infrastructures Compact representation of k-mer de Bruijn graphs for genome read assembly.DIME: a novel framework for de novo metagenomic sequence assembly Turtle: identifying frequent k-mers with cache-efficient algorithms.Tackling soil diversity with the assembly of large, complex metagenomes.Comparative genomics of flatworms (platyhelminthes) reveals shared genomic features of ecto- and endoparastic neodermata.Ecological roles of dominant and rare prokaryotes in acid mine drainage revealed by metagenomics and metatranscriptomics.Reconstructing rare soil microbial genomes using in situ enrichments and metagenomics.Microbial activity in forest soil reflects the changes in ecosystem properties between summer and winter.Structure and function of the healthy pre-adolescent pediatric gut microbiome Detection of low-abundance bacterial strains in metagenomic datasets by eigengenome partitioning.

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P2860

Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

http://www.wikidata.org/entity/Q36170818

description

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name

Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

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Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

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Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

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Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

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Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

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Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

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Proceedings of the National Academy of Sciences of the United States of America

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Scaling metagenome sequence assembly with probabilistic de Bruijn graphs.

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P2093

Adina Howe

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Arend Hintze

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Rosangela Canino-Koning

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P2860

A primer on metagenomics

An Eulerian path approach to DNA fragment assembly

A human gut microbial gene catalogue established by metagenomic sequencing

Full-length transcriptome assembly from RNA-Seq data without a reference genome

Velvet: algorithms for de novo short read assembly using de Bruijn graphs

Environmental genome shotgun sequencing of the Sargasso Sea

How to apply de Bruijn graphs to genome assembly

ABySS: a parallel assembler for short read sequence data

High-quality draft assemblies of mammalian genomes from massively parallel sequence data

De novo identification of repeat families in large genomes

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