Detecting and estimating contamination of human DNA samples in sequencing and array-based genotype data. - Test2 - elhamkhani - TriplyDB

Detecting and estimating contamination of human DNA samples in sequencing and array-based genotype data.

Detecting and estimating contamination of human DNA samples in sequencing and array-based genotype data.

http://www.wikidata.org/entity/Q30574894

about

Rare-variant association analysis: study designs and statistical tests Exome sequencing and complex disease: practical aspects of rare variant association studies Genome sequencing elucidates Sardinian genetic architecture and augments association analyses for lipid and blood inflammatory markers Iron Age and Anglo-Saxon genomes from East England reveal British migration history AMMECR1: a single point mutation causes developmental delay, midface hypoplasia and elliptocytosis The genetic architecture of type 2 diabetes Multiple Hepatic Regulatory Variants at the GALNT2 GWAS Locus Associated with High-Density Lipoprotein Cholesterol Exome sequencing identifies rare LDLR and APOA5 alleles conferring risk for myocardial infarction.Identification of Novel Variants in LTBP2 and PXDN Using Whole-Exome Sequencing in Developmental and Congenital Glaucoma In search of rare variants: preliminary results from whole genome sequencing of 1,325 individuals with psychophysiological endophenotypes.SASI-Seq: sample assurance Spike-Ins, and highly differentiating 384 barcoding for Illumina sequencing.An efficient and scalable analysis framework for variant extraction and refinement from population-scale DNA sequence data.Correcting for Sample Contamination in Genotype Calling of DNA Sequence Data.Identification and Correction of Sample Mix-Ups in Expression Genetic Data: A Case Study The Genomic Scrapheap Challenge; Extracting Relevant Data from Unmapped Whole Genome Sequencing Reads, Including Strain Specific Genomic Segments, in Rats.From next-generation resequencing reads to a high-quality variant data set.Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies.Rare Variant Analysis of Human and Rodent Obesity Genes in Individuals with Severe Childhood Obesity.Ancestry estimation and control of population stratification for sequence-based association studies.Health and population effects of rare gene knockouts in adult humans with related parents Transcriptional diversity during lineage commitment of human blood progenitors.Common contaminants in next-generation sequencing that hinder discovery of low-abundance microbes Human phenotype ontology annotation and cluster analysis to unravel genetic defects in 707 cases with unexplained bleeding and platelet disorders.Exome sequencing in amyotrophic lateral sclerosis identifies risk genes and pathways.Exome Sequencing in Classic Hairy Cell Leukaemia Reveals Widespread Variation in Acquired Somatic Mutations between Individual Tumours Apart from the Signature BRAF V(600)E Lesion.Peptidomic and transcriptomic profiling of four distinct spider venoms ABCA7 rare variants and Alzheimer disease risk The genetic regulatory signature of type 2 diabetes in human skeletal muscle.Identification of a rare coding variant in complement 3 associated with age-related macular degeneration Identifying rare variants associated with complex traits via sequencing.Quality Control for the Illumina HumanExome BeadChip.Batch effects and the effective design of single-cell gene expression studies.The Allelic Landscape of Human Blood Cell Trait Variation and Links to Common Complex Disease.Genetic regulatory signatures underlying islet gene expression and type 2 diabetes.A SNP profiling panel for sample tracking in whole-exome sequencing studies.A novel post hoc method for detecting index switching finds no evidence for increased switching on the Illumina HiSeq X.Human pluripotent stem cells recurrently acquire and expand dominant negative P53 mutations.MBV: a method to solve sample mislabeling and detect technical bias in large combined genotype and sequencing assay datasets.17q21.31 duplication causes prominent tau-related dementia with increased MAPT expression.Mycoplasma contamination in the 1000 Genomes Project.

P2860

Q26852733-985502ED-B04A-48B3-9587-14AE0AB7DE7C Q27027055-957408AA-ADBD-446E-88E8-9043036C0333 Q28267312-89BB6429-28C6-431C-87E1-6755B0897ADF Q28601637-65026439-6C1A-4743-A88B-255AF623C7E3 Q28975784-DEBC6E08-778A-47DF-8ED6-14B56B7308F4 Q29583824-7347105F-C91A-441D-B0E4-8F528388AFBB Q30277960-74F9988B-9A43-4B7D-8137-16B59CDF8BEF Q30301147-5871230C-3161-4F69-BB31-918A32536ACE Q30377934-A7BA4FA5-4232-4558-A330-3BB9224E7957 Q30397608-6313CF0C-1B71-470C-8112-E52230DF6321 Q30438936-C6A802C7-EC4A-4F17-947E-66E4724EF717 Q30934831-5E86E12F-21BE-484B-AF82-BE9BCDF5413F Q30984579-B3D1D4B4-36AA-420D-8FBE-303E230B6EE5 Q30988329-30492D7B-7739-403D-B547-5D2AE1F35777 Q31120231-0EB08E11-1FAE-4155-B7C5-59A57B254A7F Q31137675-37DE889F-14B2-43DF-8ABC-AAE11DA7B19C Q31155417-5FE499EF-3265-48E0-A1F9-D0E06D7171C0 Q33854345-2125E2E2-274D-4688-BE35-DBBB14819448 Q33856061-66E2B4C4-47D8-43D1-AC40-1229B9C90495 Q34046351-2916ED31-0ECB-4473-BE20-A364E67F0C8B Q34626417-9D47408E-3881-427C-96A2-C0D1D4A43981 Q35170475-51DBC0D4-5ADB-46D0-B61B-2B636E6BA52E Q35577026-8E5CAB77-0CC8-482B-82EC-A0D99D020A69 Q35624305-16D4144B-E3B1-4310-B296-1C26B7268BF4 Q35922137-3D46C6DA-660C-47A4-B5B8-76B5ECB8F110 Q36312190-A6BC1B7F-4F3E-499D-84A2-1FBA791101AA Q36982034-F9233B8C-B2B8-4D28-B89F-50DA159397AA Q37060991-D7D424C9-A55E-4E2E-8A53-370F314164F6 Q37265929-3AAF7DD5-A0C7-49B7-8ADC-EE9895383EA4 Q37316697-060A212A-C497-4CDF-8DC0-182DBABC1389 Q37401251-29A96863-5D0F-4CE6-8D61-DCD0B58670C5 Q37550421-858AFCF6-212B-46CE-9AD6-366DF6CA011D Q37634534-B40B48CC-D14B-4AAB-8083-0D25DA709382 Q37682430-9E203048-9FD7-4EB7-81F2-600D678D75E5 Q37690640-152DA1FF-0644-4B88-86F6-4990F67DB30D Q38620152-203BABC8-0329-4557-9A45-E64F2FA75B88 Q38705984-E932C8A8-7E06-415D-8084-FCFDE7665EC5 Q38967821-C8198E00-3C72-41C1-8EA4-4DEFFFC6E8AD Q39107119-0EBA9150-C64D-481C-BEB0-0207B05E81CF Q39646275-E05361B4-183C-47FF-A23C-510BEECF7FA6

P2860

Detecting and estimating contamination of human DNA samples in sequencing and array-based genotype data.

http://www.wikidata.org/entity/Q30574894

description

2012 nî lūn-bûn

@nan

2012 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

name

Detecting and estimating conta ...... and array-based genotype data.

@ast

Detecting and estimating conta ...... and array-based genotype data.

@en

Detecting and estimating conta ...... and array-based genotype data.

@en-gb

type

label

Detecting and estimating conta ...... and array-based genotype data.

@ast

Detecting and estimating conta ...... and array-based genotype data.

@en

Detecting and estimating conta ...... and array-based genotype data.

@en-gb

prefLabel

Detecting and estimating conta ...... and array-based genotype data.

@ast

Detecting and estimating conta ...... and array-based genotype data.

@en

Detecting and estimating conta ...... and array-based genotype data.

@en-gb

P1433

Q30574894-942AF18B-8F89-4146-90B0-F04B90E8CAAF

P1476

Q30574894-6A713C2B-0074-4A0C-B47F-F09576BF38F1

P2093

Q30574894-48D833A6-1F64-44AE-AE11-8E7E729860C6

Q30574894-49C13D35-7675-42C8-BFCC-B64EE2677163

Q30574894-9842B048-F5A5-4ABA-9F35-3302E532A012

Q30574894-BBCE36F0-2E95-4DE9-A39D-74B3BD3673A5

Q30574894-CF0BCFD6-3A7D-4A7C-A34C-8268E7951150

P2860

Q30574894-0B6A76E9-CC81-415C-9043-EA7B5B198672

Q30574894-5C5E5368-8BF6-4852-B905-C0B17EA0BCEF

Q30574894-6334F641-666D-4EB9-8AB6-5C38F2697C04

Q30574894-93D74CD4-C710-4DF2-81CF-6959150748A2

Q30574894-A36D4568-3266-44DD-8AE5-D1ACCA902E99

Q30574894-B95B3B71-2F94-491D-9EC0-65689324D844

Q30574894-BFAEE8D4-BAF4-414F-8ADC-181FF4DBBC20

Q30574894-CA40AC04-1F18-4E2F-9697-1BD35319EEF0

Q30574894-E1CACC9D-8197-40AE-BE6D-2B36602F44A3

P304

Q30574894-995D46BC-158B-4F12-846B-779EA03B5B0F

P31

Q30574894-529600B1-494C-4DA3-B641-8CB8CACFB76A

P356

Q30574894-68BDFEF4-70B3-4393-BD3A-0DE2E356C37D

P407

Q30574894-1765C929-4AD3-42E2-94F8-BB2E784ABCA4

P433

Q30574894-71350E63-131B-4AF7-A55D-DBC457462233

P478

Q30574894-A851EFD0-188A-4242-BDCB-E4B6662F76CA

P50

Q30574894-2D12C693-EA76-4EA3-9551-B327B6C71974

Q30574894-4DE94AF6-84D3-483B-9C99-C9DB3846FBD6

Q30574894-6DFB0C17-A3B4-4C55-8A0E-F3A0301E37F2

P577

Q30574894-D3DCC781-3A89-4D63-88B4-BF5855328AC2

P5875

Q30574894-F18F6A50-7B74-42DF-8B8A-99098B3C207B

P698

Q30574894-555E3E45-1379-4CA9-B936-27D400079B9C

P932

Q30574894-4A58CAE7-F1DA-42CC-A520-25D15674C40E

P356

J.AJHG.2012.09.004

P1433

American Journal of Human Genetics

P1476

Detecting and estimating conta ...... and array-based genotype data.

@en

P2093

Hyun Min Kang

http://www.w3.org/2001/XMLSchema#string

Jane M Romm

http://www.w3.org/2001/XMLSchema#string

Kimberly F Doheny

http://www.w3.org/2001/XMLSchema#string

Kurt N Hetrick

http://www.w3.org/2001/XMLSchema#string

Matthew Flickinger

http://www.w3.org/2001/XMLSchema#string

P2860

Fast identification and removal of sequence contamination from genomic and metagenomic datasets

A map of human genome variation from population-scale sequencing

PennCNV: an integrated hidden Markov model designed for high-resolution copy number variation detection in whole-genome SNP genotyping data

ContEst: estimating cross-contamination of human samples in next-generation sequencing data.

The metabochip, a custom genotyping array for genetic studies of metabolic, cardiovascular, and anthropometric traits.

Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs.

Simultaneous genotype calling and haplotype phasing improves genotype accuracy and reduces false-positive associations for genome-wide association studies.

Low-coverage sequencing: implications for design of complex trait association studies.

GenoSNP: a variational Bayes within-sample SNP genotyping algorithm that does not require a reference population.

P304

839-848

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1016/J.AJHG.2012.09.004

http://www.w3.org/2001/XMLSchema#string

P407

P433

5

http://www.w3.org/2001/XMLSchema#string

P478

91

http://www.w3.org/2001/XMLSchema#string

P50

Gonçalo Abecasis

Michael Boehnke

P577

2012-10-25T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

232719732

http://www.w3.org/2001/XMLSchema#string

P698

23103226

http://www.w3.org/2001/XMLSchema#string

P932

3487130

http://www.w3.org/2001/XMLSchema#string