Estimating the number of unseen variants in the human genome.
about
A novel custom resequencing array for dilated cardiomyopathyApplications of species accumulation curves in large-scale biological data analysisBETASEQ: a powerful novel method to control type-I error inflation in partially sequenced data for rare variant association testingGenetic variation in the NBS1, MRE11, RAD50 and BLM genes and susceptibility to non-Hodgkin lymphoma.Univariate/multivariate genome-wide association scans using data from families and unrelated samples.Pharmacogenetics and personal genomes.Predicting discovery rates of genomic featuresFinding disease variants in Mendelian disorders by using sequence data: methods and applications.Association analysis identifies ZNF750 regulatory variants in psoriasis.Highly diverse TCRα chain repertoire of pre-immune CD8⁺ T cells reveals new insights in gene recombination.Demographic history and rare allele sharing among human populations.Replication strategies for rare variant complex trait association studies via next-generation sequencing.Mitochondrial cardiomyopathies: how to identify candidate pathogenic mutations by mitochondrial DNA sequencing, MITOMASTER and phylogenyCentury-scale methylome stability in a recently diverged Arabidopsis thaliana lineage.Epigenetic gene regulation in the adult mammalian brain: multiple roles in memory formation.Refinement of primate copy number variation hotspots identifies candidate genomic regions evolving under positive selection.Testing rare variants for association with diseases: a Bayesian marker selection approach.The impact of DNA input amount and DNA source on the performance of whole-exome sequencing in cancer epidemiologyEstimating T-cell repertoire diversity: limitations of classical estimators and a new approach.Genetic testing for dilated cardiomyopathy in clinical practice.Evolving molecular diagnostics for familial cardiomyopathies: at the heart of it allComprehensive assessment of T-cell receptor beta-chain diversity in alphabeta T cells.Optimal prediction of the number of unseen species.New clinical molecular diagnostic methods for congenital and inherited heart disease.Quantifying unobserved protein-coding variants in human populations provides a roadmap for large-scale sequencing projects.Two-stage extreme phenotype sequencing design for discovering and testing common and rare genetic variants: efficiency and power.On the optimal design of genetic variant discovery studiesWindfalls and pitfalls: Applications of population genetics to the search for disease genes.The future of the human SNP identification: which individuals to sequence?
P2860
Q24602132-B19251C3-5CA3-4D03-BF6C-E193A8DA73B3Q28829817-0C64A2E2-EDED-44F9-A129-736DD975BCDCQ30714713-02E5B329-0202-497F-A939-E3B844CA7722Q30886820-418F3A3E-C714-4DC8-B6B2-58A073257770Q33490138-FDCD3B75-3AFD-43A1-970F-8AB13F7D5DA8Q33679969-2E61FDAD-404F-4106-B4AB-8295C5EAABC4Q33779581-757DF1D6-5D89-481E-A1E2-5B2AFA7F2D55Q34089812-CFDAE1BE-D7C6-4AC7-8974-B629D43A7828Q34106655-2EABD4D2-F2DC-405B-83A6-E97CCB09FB82Q34177672-C5E89C0F-E673-4E8A-BC92-E276FE6AD0D0Q34197613-59226A1C-DF78-459D-95D2-4C0380413CB0Q34381743-3B75B573-CC40-4CF8-AC23-878A943BD3FFQ34514996-11EADFC7-6C12-4C0E-B1EA-9BD46225A644Q34874236-09924B07-BF2D-44DF-82F8-DE8F41998DBDQ35036368-150E57C2-46A8-44BD-B012-12DC314A83EDQ35561178-AA07E289-B4CA-4E24-ABB0-D9EE59F35327Q35624005-808D7114-B9F2-4546-AB4F-69D578E2E2F7Q35635553-E55D7BAD-A5A0-47E6-A925-120B3942F076Q35926877-4381C18D-AB1F-40BD-B15E-6E27B2C85333Q36882310-A22E98F9-15B8-459A-B84D-632DD685B5BCQ37255253-28F726D4-CB51-4246-BD46-08D56563E3B6Q37414711-A7196BF7-801F-4DA4-AF2A-B2470E0E10E6Q37451047-2E17B045-E93A-4DE6-A9F9-4286E686F8D1Q38088719-870D4D82-5DBE-4492-B986-CD8CE319B79AQ39234190-5E933FA1-43DB-43D4-B3FD-FF9F22A804C5Q42161561-69CC0166-1DD0-43B2-9214-E20122E88CB9Q42424982-196C4364-8AC9-47DD-A04F-72B7C2ED3220Q42784270-69508EF1-CC64-43E7-B4E1-8D5587F51550Q43125931-F76DF156-0D2F-4EE8-9029-97455E6CCCE0
P2860
Estimating the number of unseen variants in the human genome.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on 10 March 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Estimating the number of unseen variants in the human genome.
@en
Estimating the number of unseen variants in the human genome.
@nl
type
label
Estimating the number of unseen variants in the human genome.
@en
Estimating the number of unseen variants in the human genome.
@nl
prefLabel
Estimating the number of unseen variants in the human genome.
@en
Estimating the number of unseen variants in the human genome.
@nl
P2860
P356
P1476
Estimating the number of unseen variants in the human genome.
@en
P2093
Christoph Lange
P2860
P304
P356
10.1073/PNAS.0807815106
P407
P577
2009-03-10T00:00:00Z