@bicknell_l @drjulie_b @10xGenomics @kinghorngenomes We did 10X Genomics Chromium Linked read sequencing in humans in this paper https://t.co/0lJOUlvVqw I worked only on the computational analysis, but if you find this useful, I can put you in touch with o
Wow, this SNP from the 1000 Genomes can't possibly be accurate. Anyone know what causes such a bizarre pattern? Imputation error (a known issue: https://t.co/I4ZvRm67Vi)? And has someone made a list of variants with similar problems? https://t.co/fTAbyInxD
@ZaminIqbal @mathiesoniain We did an analysis for this for a few individuals from the 1000 Genomes project and found mostly slight improvement when using whole 1000G vs only corresponding population groups. (Fig 10). https://t.co/0lJOUlvVqw
RT @Jose_Oliver: Phasing and imputation for rare variants are unreliable, which likely reflects the limited sample size of the 1000 Genomes…
Phasing and imputation for rare variants are unreliable, which likely reflects the limited sample size of the 1000 Genomes project data: https://t.co/Crrc3zFgwB
RT @jsantoyo: Evaluating the quality of the 1000 genomes project data. https://t.co/m9KpuDsASQ
RT @jsantoyo: Evaluating the quality of the 1000 genomes project data. https://t.co/m9KpuDsASQ
"..phasing & imputation for rare variants unreliable..population specific reference doesn't improve accuracy of imputation over using entire 1000 Genomes..error rates & trends depend on choice of definition of error..reporting needs to take into ac
Evaluating the quality of the 1000 genomes project data. https://t.co/m9KpuDsASQ
Evaluating the quality of the 1000 genomes project data https://t.co/oPNExgLrDu #1000GenomeProject #QualityControl
RT @smbelsare: Our paper evaluating phasing and imputation in 1000 Genomes data using high coverage experimentally phased sequences is out…
Evaluating the quality of the 1000 genomes project data https://t.co/HxktN2zn0z < "conclude that the 1000GP data is best used as a reference panel for imputing variants with MAF ≥ 0.01 into populations closely related to the 1000GP groups"
Our paper evaluating phasing and imputation in 1000 Genomes data using high coverage experimentally phased sequences is out now. https://t.co/0lJOUlek1W