Search Results for author: Lucas Czech

Found 3 papers, 2 papers with code

grenedalf: population genetic statistics for the next generation of pool sequencing

2 code implementations20 Jun 2023 Lucas Czech, Jeffrey P. Spence, Moisés Expósito-Alonso

Pool sequencing is an efficient method for capturing genome-wide allele frequencies from multiple individuals, with broad applications such as studying adaptation in Evolve-and-Resequence experiments, monitoring of genetic diversity in wild populations, and genotype-to-phenotype mapping.

Metagenomic Analysis using Phylogenetic Placement -- A Review of the First Decade

no code implementations7 Feb 2022 Lucas Czech, Alexandros Stamatakis, Micah Dunthorn, Pierre Barbera

Phylogenetic placement refers to a family of tools and methods to analyze, visualize, and interpret the tsunami of metagenomic sequencing data generated by high-throughput sequencing.

Misconceptions

grenepipe: A flexible, scalable, and reproducible pipeline to automate variant and frequency calling from sequence reads

1 code implementation28 Mar 2021 Lucas Czech, Moises Exposito-Alonso

Processing high-throughput DNA sequencing data of individuals or populations requires stringing together independent software tools with many parameters, often leading to non-reproducible pipelines and datasets.

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