Salit, Marc

Extensive sequencing of seven human genomes to characterize benchmark reference materials

Zook, J. M., Catoe, D., McDaniel, J., Vang, L., Spies, N., Sidow, A., Weng, Z., Liu, Y., Mason, C. E., Alexander, N., et al. (2016) · Scientific Data

Genomics and Phylogenetic StudiesGenomic variations and chromosomal abnormalities

Cited by 811

Synthetic spike-in standards for RNA-seq experiments

Jiang, L., Schlesinger, F., Davis, C. A., Zhang, Y., Li, R., Salit, M., Gingeras, T. R., & Oliver, B. (2011) · Genome Research

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

Cited by 653

Best practices for benchmarking germline small-variant calls in human genomes

the Global Alliance for Genomics and Health Benchmarking Team, Krusche, P., Trigg, L., Boutros, P. C., Mason, C. E., De La Vega, F. M., Moore, B. L., Gonzalez-Porta, M., Eberle, M. A., Tezak, Z., et al. (2019) · Nature Biotechnology

Genomics and Phylogenetic StudiesGenomics and Rare Diseases

Cited by 429

A robust benchmark for detection of germline large deletions and insertions

Zook, J. M., Hansen, N. F., Olson, N. D., Chapman, L., Mullikin, J. C., Xiao, C., Sherry, S., Koren, S., Phillippy, A. M., Boutros, P. C., et al. (2020) · Nature Biotechnology

Genomic variations and chromosomal abnormalitiesGenomics and Phylogenetic Studies

Cited by 418

A diploid assembly-based benchmark for variants in the major histocompatibility complex

Chin, C.-S., Wagner, J., Zeng, Q., Garrison, E., Garg, S., Fungtammasan, A., Rautiainen, M., Aganezov, S., Kirsche, M., Zarate, S., et al. (2020) · Nature Communications

Genomics and Phylogenetic StudiesGenomic variations and chromosomal abnormalities

Cited by 82

Use of cause-and-effect analysis to design a high-quality nanocytotoxicology assay

Rösslein, M., Elliott, J. T., Salit, M., Petersen, E. J., Hirsch, C., Krug, H. F., & Wick, P. (2015) · Chemical Research in Toxicology

Nanoparticles: synthesis and applicationsAnimal testing and alternatives

Cited by 81

An international comparability study on quantification of mRNA gene expression ratios: CCQM-P103.1

Devonshire, A. S., Sanders, R., Whale, A. S., Nixon, G. J., Cowen, S., Ellison, S. L. R., Parkes, H., Pine, P. S., Salit, M., McDaniel, J., et al. (2016) · Biomolecular Detection and Quantification

Molecular Biology Techniques and ApplicationsScientific Measurement and Uncertainty Evaluation

Cited by 19