Magda Mielczarek

  • Position: Assistant Professor
  • Contact:✉: magda.mielczarek@upwr.edu.pl / LinkedIn📞: 71-320-57-52 / office No: 21
  • Consultations: Wednesday 15:00-16:00,  Thursday 16:00-17:00 (online).

Teaching:

  • Bioinformatics Student Association supervison (SKN Bioinformatyków)
  • Bachelor and master thesis supervision
  • Basics of Bioinformatics / Podstawy Bioinformatyki
  • Bioinformatics / Bioinformatyka
  • Programming lab (Bash course)  / Pracownia informatyczna
  • NGS data analysis / Analiza danych NGS
  • Data analysis / Analiza danych
  • Statistics / Statystyka matematyczna
  • Bioinformatics seminar / Seminarium bioinformatyczne

Publications:

  1. 📕 M. Mielczarek, B. Czech, J. Stańczyk, J. Szyda, B. Guldbrandtsen. Extraordinary Command Line: Basic Data Editing Tools for Biologists Dealing with Sequence DataThe Open Bioinformatics Journal 2020. IF(2019)=1.50.
  2. 📕 Kotlarz K, Mielczarek M, Suchocki T, Czech B, Guldbrandtsen B, and Szyda J. The application of deep learning for the classification of correct and incorrect SNP genotypes from whole-genome DNA sequencing pipelines. Journal of Applied Genetics 2020
  3. 📕 Kosińska-Selbi B, Mielczarek M, Szyda  J. Review: Long Non-Coding RNA in Livestock. Animal 2020 
  4. 📕 Szyda J, Mielczarek M, Minozzi G, Williams J.L, Wojdak-Maksymiec K. The Genetic Background of Clinical Mastitis in Holstein-Friesian cattle. Animal 2019
  5. 📕P. Barski, M. Mielczarek, M. Frąszczak, J. Szyda. Assessing DNA sequence features underlying copy number variants. ASP Zootechnica 2019
  6. 📕Mielczarek M. Frąszczak M, Williams J, Nicolazzi EL,  Szyda J, Landscape of Copy Number Variations in Bos taurus: individual – and inter-breed variability. BMC Genomics 2018. IF(2016/2017)= 3.729
  7. 📕Czech B, Frąszczak M, Mielczarek M, Szyda J. Identification and annotation of breed-specific single nucleotide polymorphisms in Bos taurus genomes. PLOS One 2018. IF(2016/2017)= 2.806
  8. 📕Mielczarek M., Frąszczak M., Giannico R., Minozzi G., Williams J.L., Wojdak-Maksymiec K., and Szyda, J. Analysis of Copy Number Variations in Holstein-Friesian Cow Genomes Based on Whole Genome Sequence Data. Journal of Dairy Science 2017, 100:7, pp 5515-5525, IF(2016)=2.474
  9. 📕Mielczarek M. and Szyda J. Review of alignment and SNP calling algorithms for next-generation sequencing data. Journal of Applied Genetics 2016 57(1), pp. 71-79, IF(2015)=1.477
  10. 📕Szyda J., Frąszczak, M. Mielczarek, M., Giannico, R., Minozzi, G., Nicolazzi, E.L., Kamiński, S. and Wojdak-Maksymiec, K. The assessment of inter-individual variation of whole-genome DNA sequence in 32 cows. Mammalian Genome 2015, 28(11), pp. 658-665, IF(2014)=3.068

Education:

  1. 🎓2012-2016 Biology, Wroclaw University of Environmental and Life Sciences, The Faculty of Biology and Animal Science. PhD studies; area of study: genomics, genetics and bioinformatics; The main goal of the PhD thesis was the investigation of CNVs across 155 individuals belonging to 13 different breeds of domestic cattle (Bos taurus Linnaeus, 1758). In particular, the study comprised: (i) detecting CNV polymorphisms including their validation using different algorithms, (ii) identifying the functional and biological annotations of CNVs, (iii) describing the distribution of these polymorphisms across the genome and assessing the inter-breed and inter-individual variation in the number and distribution of CNVs.
  2. 🎓2010-2012 Biotechnology, specialization: bioinformatics, University of Wrocław, Faculty of Biotechnology. Graduate studies; an individual programme with emphasis on bioinformatics techniques and programming;
  3. 🎓2005-2010 Biology, specialization: zoology, University of Wrocław, Faculty of Biological Sciences. Master’s degree, Biology.

Membership:

  • Polish Bioinformatics Society (PTBI)
  • Member of the European Federation for Animal Science (EAAP). EAAP is an international non-governmental organisation which aims to improve the farming of domestic animals.

Interests: Bioinformatics, biostatistics, animal genetics, genomics, next generation sequencing software