scispace - formally typeset
T

Tarmo Puurand

Researcher at University of Tartu

Publications -  14
Citations -  983

Tarmo Puurand is an academic researcher from University of Tartu. The author has contributed to research in topics: Genome & Reference genome. The author has an hindex of 6, co-authored 13 publications receiving 895 citations.

Papers
More filters
Journal ArticleDOI

A recent bottleneck of Y chromosome diversity coincides with a global change in culture

Monika Karmin, +124 more
- 01 Apr 2015 - 
TL;DR: A study of 456 geographically diverse high-coverage Y chromosome sequences, including 299 newly reported samples, infer a second strong bottleneck in Y-chromosome lineages dating to the last 10 ky, and hypothesize that this bottleneck is caused by cultural changes affecting variance of reproductive success among males.
Journal ArticleDOI

MultiPLX: automatic grouping and evaluation of PCR primers

TL;DR: UNLABELLED MultiPLX is a new program for automatic grouping of PCR primers that can use many different parameters to estimate the compatibility of primers, such as primer-primer interactions, primer-product interactions, different in melting temperatures, difference in product length and the risk of generating alternative products from the template.
Journal ArticleDOI

FastGT: an alignment-free method for calling common SNVs directly from raw sequencing reads.

TL;DR: A computational method that counts the frequencies of unique k-mers in FASTQ-formatted genome data and uses this information to infer the genotypes of known variants, providing k-mer database that can be used for the simultaneous genotyping of approximately 30 million single nucleotide variants (SNVs), including >23,000 SNVs from Y chromosome.
Journal ArticleDOI

Genetic variation in the Estonian population: pharmacogenomics study of adverse drug effects using electronic health records.

TL;DR: It is found that CTNNA3 was associated with myositis and myopathies among individuals taking nonsteroidal anti-inflammatory oxicams and replicated this finding in an extended cohort of 706 individuals, illustrating that population-based WGS-coupled EHRs are a useful tool for biomarker discovery.