Identifying and modelling the drivers of stutter in forensic DNA profiles

Please note a website outage is scheduled for Thursday 11 July from 6-8am. We apologise for any inconvenience.

Respiratory illness dashboard STI Quarterly dashboard Wastewater dashboard Measles dashboard Meningococcal disease dashboard Notifiable disease dashboard Pertussis dashboard IPD dashboard

What can we help you find today?

Suggested keywords

Expertise

Digital library

People

Identifying and modelling the drivers of stutter in forensic DNA profiles

Abstract

This paper investigates the variables that could affect the stutter ratio (SR). Bayesian modelling techniques are used to model the distribution of the SR using the parameters identified: the locus and the longest uninterrupted sequence (LUS). The final model gives an expected estimate for the SR as well as the distribution about this estimate.

view journal

What can we help you find today?

Suggested keywords

Expertise

Digital library

People

Identifying and modelling the drivers of stutter in forensic DNA profiles

Abstract

Get in touch with us

Partner with us

Identifying and modelling the drivers of stutter in forensic DNA profiles

Abstract

Sign up for our newsletter to get the latest updates

Sign up for our newsletter