Sarah Riman

Publications

Sequence-based allelic variations and frequencies for 22 autosomal STR loci in the Lebanese population

April 10, 2023

Author(s)

Sarah Riman, Mirna Ghemrawi, Lisa Borsuk, Rami Mahfouz, Susan Walsh, Peter Vallone

This is the first study that characterizes the sequence-based allelic variations of 22 autosomal Short Tandem Repeat (aSTR) loci in a population dataset

Examining performance and likelihood ratios for two likelihood ratio systems using the PROVEDIt dataset

September 17, 2021

Author(s)

Sarah Riman, Hariharan K. Iyer, Peter Vallone

A likelihood ratio (LR) system is defined as the entire pipeline of the measurement and interpretation processes where probabilistic genotyping software (PGS)

Understanding the characteristics of sequence-based single-source DNA profiles

November 9, 2019

Author(s)

Sarah Riman, Hariharan K. Iyer, Lisa A. Borsuk, Peter M. Vallone

The sequencing of STR markers provides additional information present in the underlying sequence variation that is typically masked by traditional fragment

Are Reported Likelihood Ratios Well Calibrated?

October 8, 2019

Author(s)

Peter Vallone, Sarah Riman, Jan Hannig

In this work we introduce a new statistical methodology for empirically examining the validity of model-based Likelihood Ratio (LR) systems by applying a

Characterization of NIST Human Mitochondrial DNA SRM-2392 and SRM-2392I Standard Reference Materials by Next Generation Sequencing

July 1, 2017

Author(s)

Peter M. Vallone, Kevin M. Kiesler, Sarah Riman, Lisa A. Borsuk

Standard Reference Materials SRM 2392 and 2392-I are intended to provide quality control when amplifying and sequencing human mitochondrial genome sequences

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Sarah Riman (Assoc)

Guest Researcher

Publications

Sequence-based allelic variations and frequencies for 22 autosomal STR loci in the Lebanese population

Examining performance and likelihood ratios for two likelihood ratio systems using the PROVEDIt dataset

Understanding the characteristics of sequence-based single-source DNA profiles

Are Reported Likelihood Ratios Well Calibrated?

Characterization of NIST Human Mitochondrial DNA SRM-2392 and SRM-2392I Standard Reference Materials by Next Generation Sequencing