Magda Mielczarek

Supplementation with effective microorganisms in earthen ponds affects common carp growth but not overall microbial communities

This study shows that adding effective microorganisms to feed and pond water improves common carp growth without changing microbial communities.

Unravelling traits with complex inheritance mode: a gene panel perspective

The paper introduces a procedure to analyze gene panel data for complex traits, narrowing down SNPs with potential causal effects on protein structure.

Exploring the impact of sequence context on errors in SNP genotype calling with Whole Genome Sequencing data using AI-based autoencoder approach

The paper uses an autoencoder to identify systematic errors in SNP genotype calling from WGS data by analyzing sequence context and quality metrics.

An explainable deep learning classifier of bovine mastitis based on whole genome sequence data - circumventing the p>>>n problem

The paper develops a deep learning classifier for bovine mastitis susceptibility using whole genome sequence data, overcoming the p>>n problem through LASSO and deep learning integration.

Nextflow vs. plain Bash: Different Approaches to the Parallelisation of SNP Calling from the Whole Genome Sequence Data

This paper compares SNP calling workflow parallelisation using plain Bash and Nextflow, finding that multi-process Nextflow is faster but uses more RAM and disk space.

Exploring the distribution of single nucleotide polymorphisms across human exons and introns

The paper analyzes SNP distribution across human exons and introns using a Polish population dataset, finding that outer exons and first introns have significantly more SNPs.