Improved genome inference in the MHC using a population reference graph
about
Challenges, Solutions, and Quality Metrics of Personal Genome Assembly in Advancing Precision MedicineAutoimmune diseases - connecting risk alleles with molecular traits of the immune system.Genetic variation and the de novo assembly of human genomesMapping Bias Overestimates Reference Allele Frequencies at the HLA Genes in the 1000 Genomes Project Phase I Data.Genome, transcriptome and proteome: the rise of omics data and their integration in biomedical sciences.DangerTrack: A scoring system to detect difficult-to-assess regionsThe MHC locus and genetic susceptibility to autoimmune and infectious diseases.Genome graphs and the evolution of genome inferenceEvaluation of GRCh38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assemblyA graph extension of the positional Burrows-Wheeler transform and its applications.Extending reference assembly models.Read mapping on de Bruijn graphs.High-Accuracy HLA Type Inference from Whole-Genome Sequencing Data Using Population Reference GraphsCanonical, stable, general mapping using context schemes.A representation of a compressed de Bruijn graph for pan-genome analysis that enables search.Defining KIR and HLA Class I Genotypes at Highest Resolution via High-Throughput Sequencing.Assembly and analysis of 100 full MHC haplotypes from the Danish populationA genomic perspective on HLA evolution.Fast and accurate HLA typing from short-read next-generation sequence data with xHLA.Sequences of 95 human MHC haplotypes reveal extreme coding variation in genes other than highly polymorphic HLA class I and II.Metagenomic Chromosome Conformation Capture (3C): techniques, applications, and challenges.Computational pan-genomics: status, promises and challenges.TwoPaCo: an efficient algorithm to build the compacted de Bruijn graph from many complete genomes.deBGA: read alignment with de Bruijn graph-based seed and extension.Modelling haplotypes with respect to reference cohort variation graphs.Graphical pan-genome analysis with compressed suffix trees and the Burrows-Wheeler transform.Modeling coverage gaps in haplotype frequencies via Bayesian inference to improve stem cell donor selection.Graphtyper enables population-scale genotyping using pangenome graphs.What has GWAS done for HLA and disease associations?Comment on "A Database of Human Immune Receptor Alleles Recovered from Population Sequencing Data".seq-seq-pan: building a computational pan-genome data structure on whole genome alignment.Nanopore sequencing and assembly of a human genome with ultra-long reads.Kourami: graph-guided assembly for novel human leukocyte antigen allele discovery.HLA variation and disease.Towards pan-genome read alignment to improve variation calling.
P2860
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P2860
Improved genome inference in the MHC using a population reference graph
description
2015 nî lūn-bûn
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2015 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Improved genome inference in the MHC using a population reference graph
@ast
Improved genome inference in the MHC using a population reference graph
@en
Improved genome inference in the MHC using a population reference graph
@nl
type
label
Improved genome inference in the MHC using a population reference graph
@ast
Improved genome inference in the MHC using a population reference graph
@en
Improved genome inference in the MHC using a population reference graph
@nl
prefLabel
Improved genome inference in the MHC using a population reference graph
@ast
Improved genome inference in the MHC using a population reference graph
@en
Improved genome inference in the MHC using a population reference graph
@nl
P2093
P2860
P3181
P356
P1433
P1476
Improved genome inference in the MHC using a population reference graph
@en
P2093
Alexander Dilthey
Charles Cox
Gil McVean
Matthew R Nelson
P2860
P2888
P3181
P356
10.1038/NG.3257
P407
P50
P577
2015-06-01T00:00:00Z
P5875
P6179
1019278949