Sebastián Biagini

KinshipAssembly: Genetic Comparison for MPI/DVI Workflows

Wed, 01 Apr 2026 00:00:00 +0000

KinshipAssembly is an open-source Shiny application that automates all-vs-all STR-based kinship comparisons between MPI/DVI families and POI Component pedigrees

From STRs to SNP Panels: Modern Techniques in the Genetic Identification of Missing Persons

Mon, 17 Nov 2025 00:00:00 +0000

🧬 Introduction

In forensic genetics, Short Tandem Repeats (STRs) have been the key of human identification for over two decades.
Current forensic systems typically use 24 autosomal STR markers, forming the global standard for paternity testing, missing person identification (MPI) and disaster victim identification (DVI).

However, the field is now gradually migrating toward high-density Single Nucleotide Polymorphism (SNP) technologies.
This transition is motivated by the need for greater statistical resolution, improved ability to detect distant kinship, and compatibility with degraded DNA samples often recovered in humanitarian and forensic contexts.

The Genetic Map of Humanity: Mutation, Migrations and Admixture

Sat, 20 Sep 2025 00:00:00 +0000

⏳🧬 The Timescale of Mutations

Mutations are changes in the DNA sequence that occur due to errors in replication or the action of environmental factors. They can be single base substitutions, insertions or deletions of fragments, or larger rearrangements. Most are neutral and do not directly affect the organism, but they are transmitted to offspring and accumulate over time. These mutations are the primary source of genetic variability, and their effects are complemented by other fundamental processes in population genetics:

About

Mon, 01 Jan 0001 00:00:00 +0000

About Me

Biologist focused on forensic genetics, kinship analysis, and computational workflows for reproducible research.

Selected Projects

KinshipAssembly
Open-source Shiny application that automates all-vs-all STR-based kinship comparisons between MPI/DVI families and POI Component pedigrees.

Education

M.Sc. in Data Mining and Knowledge Discovery, FCEN & FI, Universidad de Buenos Aires. 2026-present
Data Science: Applications in Biology and Medicine with Python and R, Universidad de Barcelona. 2024
B.Sc in Biological Sciences, FCEN, Universidad de Buenos Aires. 2012-2018