Haynes Heaton

The paper quantifies maternal microchimerism in the human brain using snRNA-seq and identifies diverse cell types across age groups.

Cellector detects rare foreign genotype cells in scRNAseq data, showing accuracy down to 0.05% microchimeric cells.

Souporcell3 improves demultiplexing for high-donor scRNA-seq datasets by using K-Harmonic Means and iterative refinement, achieving higher accuracy than previous methods.

The paper introduces an extended LCSk++ algorithm for graph-based alignment, improving memory and runtime efficiency for local and semi-global POA while maintaining alignment quality.

The paper identifies recipient stem-cell persistence and T-cell dysregulation as predictors of relapse after HSCT in AML/MDS by analyzing single-cell RNA and TCR sequencing data.

TopoQual improves PacBio CCS reads by correcting errors and predicting more accurate quality scores, enabling reliable somatic variant calling.

Souporcell clusters single-cell RNAseq data using genetic variants to accurately assign genotypes, detect doublets, and estimate ambient RNA without reference genotypes.

The paper creates a comprehensive single-cell transcriptome atlas of the Plasmodium berghei life cycle and applies it to define stages in human malaria parasites.

This study identifies a large number of structural variants in human genomes using multiple sequencing technologies and presents them as a gold standard for future studies.

The paper develops a reproducible pipeline to integrate sequencing datasets for high-confidence SNP, indel, and reference calls in five human genomes, showing improved variant detection compared to prior methods.

This paper introduces Linked-Reads as a method to comprehensively analyze genome variation, showing it can detect both small and large variants and reconstruct haplotypes more effectively than short-read sequencing.

This paper presents a high-quality de novo genome assembly of a single Anopheles coluzzii mosquito using a modified PacBio protocol, achieving high contiguity and completeness with low DNA input.