Mohiyuddin, Marghoob

Gaining comprehensive biological insight into the transcriptome by performing a broad-spectrum RNA-seq analysis

Sahraeian, S. M. E., Mohiyuddin, M., Sebra, R., Tilgner, H., Afshar, P. T., Au, K. F., Bani Asadi, N., Gerstein, M. B., Wong, W. H., Snyder, M. P., et al. (2017) · Nature Communications

Genomics and Phylogenetic StudiesSingle-cell and spatial transcriptomics

Cited by 376

PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions

Olson, N. D., Wagner, J., McDaniel, J., Stephens, S. H., Westreich, S. T., Prasanna, A. G., Johanson, E., Boja, E., Maier, E. J., Serang, O., et al. (2022) · Cell Genomics

Genomics and Phylogenetic StudiesGenomics and Rare Diseases

Cited by 202

Analysis of deletion breakpoints from 1,092 humans reveals details of mutation mechanisms

Abyzov, A., Li, S., Kim, D. R., Mohiyuddin, M., Stütz, A. M., Parrish, N. F., Mu, X. J., Clark, W., Chen, K., Hurles, M., et al. (2015) · Nature Communications

Genomic variations and chromosomal abnormalitiesGenome Rearrangement Algorithms

Cited by 91

Achieving robust somatic mutation detection with deep learning models derived from reference data sets of a cancer sample

Sahraeian, S. M. E., Fang, L. T., Karagiannis, K., Moos, M., Smith, S., Santana-Quintero, L., Xiao, C., Colgan, M., Hong, H., Mohiyuddin, M., et al. (2022) · Genome biology

Cancer Genomics and DiagnosticsGenomics and Phylogenetic Studies

Cited by 27