Effects of GC bias in next-generation-sequencing data on de novo genome assembly - Wikidata - wikimedia - TriplyDB

Effects of GC bias in next-generation-sequencing data on de novo genome assembly

Effects of GC bias in next-generation-sequencing data on de novo genome assembly

http://www.wikidata.org/entity/Q30620847

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Gene loss, adaptive evolution and the co-evolution of plumage coloration genes with opsins in birds Investigation into the annotation of protocol sequencing steps in the sequence read archive.Non-random DNA fragmentation in next-generation sequencing.Prevention, diagnosis and treatment of high-throughput sequencing data pathologies.The Genomic Scrapheap Challenge; Extracting Relevant Data from Unmapped Whole Genome Sequencing Reads, Including Strain Specific Genomic Segments, in Rats.Next-generation sequencing-based transcriptome analysis of Helicoverpa armigera Larvae immune-primed with Photorhabdus luminescens TT01.OMACC: an Optical-Map-Assisted Contig Connector for improving de novo genome assembly Analysis of plant microbe interactions in the era of next generation sequencing technologies.Modeling bias and variation in the stochastic processes of small RNA sequencing.GABenchToB: a genome assembly benchmark tuned on bacteria and benchtop sequencers.Transcriptome profiling identifies differentially expressed genes in Huoyan goose ovaries between the laying period and ceased period.A GFP expressing influenza A virus to report in vivo tropism and protection by a matrix protein 2 ectodomain-specific monoclonal antibody.From benchtop to desktop: important considerations when designing amplicon sequencing workflows Population structure of mitochondrial genomes in Saccharomyces cerevisiae.Genomic Resources for Water Yam (Dioscorea alata L.): Analyses of EST-Sequences, De Novo Sequencing and GBS Libraries.Using linkage maps to correct and scaffold de novo genome assemblies: methods, challenges, and computational tools.Comparison of Sample Preparation Methods Used for the Next-Generation Sequencing of Mycobacterium tuberculosis.Development of a universal and simplified ddRAD library preparation approach for SNP discovery and genotyping in angiosperm plants Validation of picogram- and femtogram-input DNA libraries for microscale metagenomics.Targeted capture enrichment assay for non-invasive prenatal testing of large and small size sub-chromosomal deletions and duplications Zseq: An Approach for Preprocessing Next-Generation Sequencing Data.GLANET: Genomic Loci ANnotation and Enrichment Tool.Avian genomics lends insights into endocrine function in birds.The present and future of de novo whole-genome assembly.Comparative analysis of de novo assemblers for variation discovery in personal genomes.Variants of the CNTNAP2 5' promoter as risk factors for autism spectrum disorders: a genetic and functional approach.Genome sequence of a diabetes-prone rodent reveals a mutation hotspot around the ParaHox gene cluster Contribution of Next-Generation Sequencing to Aquatic and Fish Virology.CopyRighter: a rapid tool for improving the accuracy of microbial community profiles through lineage-specific gene copy number correction.Primer and platform effects on 16S rRNA tag sequencing.MetaGen: reference-free learning with multiple metagenomic samples Rokubacteria: Genomic Giants among the Uncultured Bacterial Phyla.Single molecule sequencing of the M13 virus genome without amplification.A dual transcript-discovery approach to improve the delimitation of gene features from RNA-seq data in the chicken model.Next-Generation Sequencing in Diagnostic Pathology.Systematic and stochastic influences on the performance of the MinION nanopore sequencer across a range of nucleotide bias.Next Generation Sequencing Methods for Diagnosis of Epilepsy Syndromes.Ten steps to get started in Genome Assembly and Annotation Reassembling haplotypes in a mixture of pooled amplicons when the relative concentrations are known: A proof-of-concept study on the efficient design of next-generation sequencing strategies.Expanding an expanded genome: long-read sequencing of Trypanosoma cruzi.

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Effects of GC bias in next-generation-sequencing data on de novo genome assembly

http://www.wikidata.org/entity/Q30620847

description

2013 nî lūn-bûn

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2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած

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2013 թվականի ապրիլին հրատարակված գիտական հոդված

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2013年の論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年論文

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2013年论文

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name

Effects of GC bias in next-generation-sequencing data on de novo genome assembly

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Effects of GC bias in next-generation-sequencing data on de novo genome assembly

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type

label

Effects of GC bias in next-generation-sequencing data on de novo genome assembly

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Effects of GC bias in next-generation-sequencing data on de novo genome assembly

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prefLabel

Effects of GC bias in next-generation-sequencing data on de novo genome assembly

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Effects of GC bias in next-generation-sequencing data on de novo genome assembly

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Effects of GC bias in next-generation-sequencing data on de novo genome assembly

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Chi-Chuan Hwang

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Chun-Hui Yu

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Tsunglin Liu

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Tzen-Yuh Chiang

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Yen-Chun Chen

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P2860

A practical comparison of de novo genome assembly software tools for next-generation sequencing technologies

Database resources of the National Center for Biotechnology Information

Genome sequencing in microfabricated high-density picolitre reactors

The Genomes OnLine Database (GOLD) v.4: status of genomic and metagenomic projects and their associated metadata

Efficient de novo assembly of single-cell bacterial genomes from short-read data sets

Accurate whole human genome sequencing using reversible terminator chemistry

De novo assembly of human genomes with massively parallel short read sequencing

A large genome center's improvements to the Illumina sequencing system.

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

Versatile and open software for comparing large genomes

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