Seminars

Summer semester 2☀️19/2☀️2☀️

Summer break time, see you in September 🙂

Feel free to join online seminars. Fill in the registration form here. The meetings time is usually Tuesday at (1) 10:30 am and (2) 5:30 pm. Stay tuned and follow the schedule below!

Technical (1):

  • 07.07.2020 – Barbara Kosińska-Selbi – Python: Numpy library (the last one before the summer break)
  • 30.06.2020 (at 8:30) – Michalina Jakimowicz
  • 23.06.2020 – Bartosz Czech – Python: iterators, and generators
  • 16.06.2020 – Bartosz Czech – Python: set, frozenset, list comprehension
  • 26.05.2020 – Barbara Kosińska-Selbi (let’s bite the python book** together; Chapter 4)
  • 01.05.2020 (Friday at 10:00) – Jagoda Pierścińśka (let’s bite the python book* together; Chapter 10)
  • 24.04.2020 (Friday at 10:00) – Bartosz Brzózka (let’s bite the python book* together; Chapter 9)
  • 14.04.2020 – Michalina Jakimowicz (let’s bite the python book* together; Chapters 7,8)
  • 07.04.2020 – Barbara Kosińska-Selbi (let’s bite the python book* together; Chapters 5,6)
  • 31.03.2020 – Barbara Kosińska-Selbi (let’s bite the python book* together; Chapters 3,4)
  • 24.03.2020 – Michalina Jakimowicz (let’s bite the python book* together; Chapters 1,2)

**Python book: Python Data Science Handbook

*Python book: Automate the Boring Stuff with Python: Practical Programming for Total Beginners

Scientific (2):

  • 07.07.2020 – JS talking & movie watching continuation
  • 30.06.2020 – “Single-Cell Genomics” movie watching
  • 23.06.2020 (6:00) – theta about single cell sequencing based studies:
    • MKN: RNA sequencing-based analysis of the laying hen uterus revealed the novel genes and biological pathways involved in the eggshell biomineralization
    • MF: Single cell RNA sequencing of 13 human tissues identify cell types and receptors of human coronaviruses
    • JP: Single Cell RNA Analysis Identifies Cellular Heterogeneity and Adaptive Responses of the Lung at Birth
  • 16.06.2020 (6:00) – theta about single cell sequencing based studies:
    • TS: The Post-GWAS Era: From Association to Function
    • JS: Linked-read analysis identifies mutations in single-cell DNA sequencing data
    • BKS: Single-cell RNA sequencing reveals developmental heterogeneity of blastomeres during major genome activation in bovine embryos
    • BC: Multi-omics profiling of mouse gastrulation at single-cell resolution
    • MJ: LEAP: constructing gene co-expression networks for single-cell RNA-sequencing data using pseudotime ordering
    • MM: DNA copy number profiling using single-cell sequencing
  • 09.06.2020 – Magdalena Frąszczak – SNP density in the bovine genome
  • 02.06.2020 – Magda Mielczarek about experimental design in RNA-seq data analysis
  • 26.05.2020 – Joanna Szyda about CPU memory usage (Fortran language)
  • 19.05.2020 – Joanna Szyda about the machine learning used for SNP data
  • 12.05.2020 (6:30) – Tomasz Suchocki – KEGG pathways related to milking and calving traits
  • 05.05.2020 (6:30) – Mateusz Kołomański – DNA sequence features underlying large-scale duplications and deletions in human
  • 28.04.2020 – Mostafa Nassar – Development of SNP genotyping arrays and their application in QTL mapping and gene discovery in chicken
  • 21.04.2020 – Bartosz Czech – 16S rRNA data analysis of fecal microbiota of cattle in the context of heat stress resistance
  • 15.04.2020 – Barbara Kosińska-Selbi – Genetic diversity and structure in Bos taurus and Bos indicus
  • 08.04.2020 – Magda Mielczarek about the rat data (collaboration with the China Agricultural University)
  • 01.04.2020 – Tomasz Suchocki -“Gene mapping and genomic prediction of bull fertility using sex chromosome markers”
  • 17.03.2020 – Joanna Szyda reviews 4 papers related to NGS data analysis