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Jeroen F. J. Laros

Researcher at Leiden University

Publications -  20
Citations -  3137

Jeroen F. J. Laros is an academic researcher from Leiden University. The author has contributed to research in topics: Population & Medicine. The author has an hindex of 12, co-authored 17 publications receiving 2750 citations. Previous affiliations of Jeroen F. J. Laros include Netherlands Bioinformatics Centre.

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Journal ArticleDOI

A promoter-level mammalian expression atlas

Alistair R. R. Forrest, +280 more
- 27 Mar 2014 - 
TL;DR: For example, the authors mapped transcription start sites (TSSs) and their usage in human and mouse primary cells, cell lines and tissues to produce a comprehensive overview of mammalian gene expression across the human body.
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Whole-genome sequence variation, population structure and demographic history of the Dutch population

Laurent C. Francioli, +91 more
- 01 Jun 2014 - 
TL;DR: The Genome of the Netherlands (GoNL) Project is described, in which the whole genomes of 250 Dutch parent-offspring families were sequenced and a haplotype map of 20.4 million single-nucleotide variants and 1.2 million insertions and deletions were constructed.
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The Genome of the Netherlands: design, and project goals

TL;DR: The Genome of the Netherlands (GoNL), one of the projects within BBMRI-NL, is described, a whole-genome-sequencing project in a representative sample consisting of 250 trio-families from all provinces in the Netherlands, which aims to characterize DNA sequence variation in the Dutch population.
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Massively parallel sequencing of short tandem repeats-Population data and mixture analysis results for the PowerSeq™ system.

TL;DR: High coverage sequencing data were used to determine stutter characteristics for all loci and stutter ratios were compared to CE data, and as expected, MPS presented a broader allele range and higher power of discrimination and exclusion rate.
Proceedings ArticleDOI

Data Mining Approaches to Criminal Career Analysis

TL;DR: A tool is described that extracts narrative reports and criminal records from the database and creates digital profiles for all offenders, which yields a visual clustering of these criminal careers and enables the identification of classes of criminals.