GitHub - Rosemeis/emu: EM-PCA for Ultra-low Coverage Sequencing Data

EM-PCA for Ultra-low Coverage Sequencing Data. Contribute to Rosemeis/emu development by creating an account on GitHub.

PDF) Haplotype and Population Structure Inference using Neural Networks in Whole-Genome Sequencing Data

Frontiers Equivolumetric Protocol Generates Library Sizes Proportional to Total Microbial Load in 16S Amplicon Sequencing

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GitHub - kasumaz/AdultOLgenesis: Single cell analysis of the generation and regulation of oligodendrocyte lineage cells from the adult subventricular zone.

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PDF) Detecting Selection in Low-Coverage High-Throughput Sequencing Data using Principal Component Analysis

PDF) Large-scale Inference of Population Structure in Presence of Missingness using PCA

PDF) Large-scale Inference of Population Structure in Presence of Missingness using PCA

PDF) Inferring Population Structure and Admixture Proportions in Low Depth NGS Data

Emu: species-level microbial community profiling of full-length 16S rRNA Oxford Nanopore sequencing data

Genotyping by low-coverage whole-genome sequencing in intercross pedigrees from outbred founders: a cost-efficient approach, Genetics Selection Evolution

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Capsule network-based approach for estimating grassland coverage