Relationship inference with Familias and FamLink
Program
- Date and venue: May 19 2016, Delta Hotel,
Montreal Canada
- Main teacher: Daniel Kling Norwegian Institute of Public Health , Division of Forensic Services
- Course organisers: Cathy Provencher and France Mailly, Laboratoire de sciences judiciaires et de medecine legale, Ministere de la Securite publique mail, in collaboration with
Canadian Society of Forensic Science
- Other: See conference homepage for details.
- Updated: May 2016 (preliminary version)
Purpose and audience
The course introduces statistical methods in forensic genetics with applications to
relationship inference. A basic understanding of the underlying concepts is assumed.
The hands on exercises are based
on freely available software. The course is aimed both for case workers in forensic labs and scientists.
Preparations for the course
Participants should bring a laptop with Familias 3 (version 3.1.9.4) and FamLink (version 1.16).
Assistance for installation will be provided at the workshop, if needed. Note that installation is typically only possible if you are administrator on your laptop.
The programs and the files are:
- Familias 3, please download. Furthermore,
exercises,
solutions,
and input files are available as well as further
information including tutorial
videos in English
- FamLink, please download. Furthermore,
exercises,
solutions,
and input files are available.
- R and R packages, users are encouraged to download the freely available software R together with some packages that will be demonstrated during the course.
Latest version of R can be downloaded. Furthermore,
R Familias with dependent packages should be downloaded by typing install.packages("Familias") followed by library(Familias) in R.
- Familias demonstration files, please download.
Time schedule
A preliminary schedule is available .
Please keep posted as new versions may appear closer to the course.
Handsout will be released later.
Other
The below book is not required but contains useful material and is available
from Elsevier;
you should get a discount with the code ATR30.
Book available from
Elsevier.