LabLynx Wiki
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
LIMSpec Wiki
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
Bioinformatics Wiki
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
IHE Wiki
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
HL7 Wiki
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
Clinfowiki
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
OpenWetWare
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
Statistical Genetics Wiki
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
Cloud-Standards.org
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
WikiBooks
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
LIMSwiki
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
Wikiversity
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
Wikipedia
Overview
SEQMIX is a C++ program that takes advantage of off-targeted sequence reads from exome/targeted sequencing experiments for accurate local ancestry inference. The paper is currently accepted by AJHG and will appear at the November issue (link coming soon).
Method
Before running SEQMIX, it is important to LD prune your data so that pairs of sites in high LD (r^2 > 0.1) are identified and only the one with a higher sequence depth are included into the model.
