CLOTHO AI SASU
CLOTHO AI SASU
1 Projects, page 1 of 1
assignment_turned_in ProjectFrom 2022Partners:CY Cergy Paris University, Equipe de Recherche sur les Relations Matrice Extracellulaire - Cellule, Institut des MATériaux, Institut de Recherche Criminelle de la Gendarmerie Nationale / Division Criminalistique Biologie Génétique, HUG +6 partnersCY Cergy Paris University,Equipe de Recherche sur les Relations Matrice Extracellulaire - Cellule,Institut des MATériaux,Institut de Recherche Criminelle de la Gendarmerie Nationale / Division Criminalistique Biologie Génétique,HUG,CHUV,Ecole de lADN / Christian SIATKA,Cordula Haas,Ecole de l'ADN / Christian SIATKA,CLOTHO AI SASU,CURMLFunder: French National Research Agency (ANR) Project Code: ANR-21-CE39-0020Funder Contribution: 485,466 EURSocieties face to contexts of insecurity. Reliable and timely information are a challenge in characterizing threats. So, among found traces, analysis of biological traces (DNA) is relevant. The majority of on-site taken samples are “blind-samples” taken from supports, which are the most likely to harbour biological traces left by contact of an individual’s body part (“touch DNA”). However, the poor efficiency in getting informative DNA profile from such samples (about 30%) is a major hurdle. As DNA analyses are very sensitive (from few cells), it could ensue from upstream unsatisfactory steps, for example insufficient biological material collection. BioTrack bases on a crosscutting approach between fundamental research, applied look and end-users validation. It aims at improving the pre-analytical steps of DNA analysis, i.e detection, collection and recovery of biological traces, aided by decision-support tools, to increase the chance of getting informative profiles form touch DNA.
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