MF2180

Deanna M. Munson, Preserving damaged family treasures, Kansas State University, February 1996

MF2411

Deanna Munson, Fry now, pay later: teaching guide, Kansas State University, October 1999

MF2410

Deanna Munson, Fry now, pay later, Kansas State University, October 1999

MF2410a

Deanna Munson, Contract to reduce sun exposure, Kansas State University, October 1999

MF1133

Deanna M. Munson & Artyce Hedrick, How to save upholstered furniture, carpet, bedding, Kansas State University, August 1993

MF1132

Deanna M. Munson & Artyce Hedrick, How to clean and disinfect textiles, Kansas State University, August 1993

MF1130

Deanna M. Munson & Artyce Hedrick, Reducing bacteria in clothing and textiles, Kansas State University, July 1993

C638

Acknowledgment: The stain removal chart was adapted from material preparedly Eleanor Young, Extension Textile and Clothing Specialist, University of Maryland. Original bulletin was prepared by Jereldine R. Howe, former Extension Textile and Clothing Specialist, Kansas State University.Deanna M. Munson, Spot & stain removal for washable fabrics, Kansas State University, April 1991

Multi-platform discovery of haplotype-resolved structural variation in human genomes

The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (<50 bp) and 27,622 SVs (≥50 bp) per genome. We also discover 156 inversions per genome and 58 of the inversions intersect with the critical regions of recurrent microdeletion and microduplication syndromes. Taken together, our SV callsets represent a three to sevenfold increase in SV detection compared to most standard high-throughput sequencing studies, including those from the 1000 Genomes Project. The methods and the dataset presented serve as a gold standard for the scientific community allowing us to make recommendations for maximizing structural variation sensitivity for future genome sequencing studies