Medical Research Academy Graz

Die Medical Research Academy Graz bietet praxisorientierte, qualitativ hochwertige Kurse für Student*innen, Postgraduierte, Doktorand*innen und Berufstätige mit spezifischem Interesse an Medizin und Gesundheitswissenschaften an. Das Kursprogramm umfasst verschiedene Bereiche der Life-Science-Technologien, Methoden der quantitativen medizinischen Forschung und den Wissensgewinn in der biomedizinischen Forschung.

Kursangebot

(Informationen auf Englisch)

Biostatistics and Bioinformatics

Basic statistics and group comparison in SPSS for life sciences

This course is an introduction to statistical methods and statistical software. On the basis of various practical examples, the participants learn to analyse and visualize data using the software SPSS and get insight how to interpret statistical results. A main goal is to show participants the importance of quality control, assessing assumptions and ensuring adequate sample size. Upon successful completion of this course, participants will be familiar with basic statistical methods and will be able to interpret statistical analysis. The participants will have the ability to choose the suitable statistical analysis method for different data sets.

SPSS basics (Day 1): Getting started with SPSS, data management, exploratory data analysis, outlier diagnostics, common plots, analysis of categorical data, scientific presentation of results

Group comparisons (Day 2): Hypothesis testing, type I and II errors, sample size, effect size, power calculation, confounding factors, Comparing means: t-test, multiple testing, one-factor-ANOVA, Mann-Whitney, Wilcoxon, Kruskal-Wallis, Friedman analysis of ranks, scientific presentation of results

For registration please fill in the registration form.

At a glance

  • Date: 07.11.-08.11.2022 (9am-4pm)
  • Language: English or German
  • DFP/CPD: 7 per day
  • Costs: 150 Euro (University)/ 300 Euro (Company) per day; Each day can be booked seperately.
  • Teaching Method: 20% lecture and 80% interactive
  • Lecturer: Katharina Eberhard, BA MA and Andrea Groselj-Strele, PhD
  • Registration Deadline: 14 days in advance
  • Location: ZMF SR O3-012 or WebEx

 

Analysis of variance and regression in SPSS for life sciences

This course is an introduction to statistical methods and statistical software in the field of Analysis of Variance and Regression analysis. On the basis of various practical examples, the participants learn to analyse and visualize data and how to interpret results. A main goal is to show participants the importance of quality control, assessing assumptions and ensuring adequate sample size. Upon successful completion of this course, participants will be familiar with the statistical methods covered in this two days and will be able to interpret statistical results. The participants will have the ability to choose the suitable statistical analysis method for different data sets.

Analysis of Variance (Day 1): one-way ANOVA, factorial ANOVA, repeated measures ANOVA, MANOVA, ANCOVA, scientific presentation of results

Regression analysis (Day 2): Pearson, Spearman, Partial correlations, simple linear regression, multiple linear regression, binary logistic regression, scientific presentation of results

For registration please fill in the registration form.

At a glance

  • Date: 14.11.-15.11.2022 (9am-4pm)
  • Language: English or German
  • DFP/CPD: 7 per day
  • Costs: 150 Euro (University)/ 300 Euro (Company) per day; Each day can be booked seperately.
  • Teaching Method: 20% lecture and 80% interactive
  • Lecturer: Katharina Eberhard, BA MA and Andrea Groselj-Strele, PhD
  • Registration Deadline: 14 days in advance
  • Location: ZMF SR O3-012 or WebEx

 

Survival and categorical data analysis in SPSS for life sciences

The aim of the first part in this course is to describe various methods used for modeling and evaluating survival data, also called time-to-event data. General statistical concepts and methods discussed in this course include survival and hazard functions, Kaplan-Meier graphs, log-rank and related tests and Cox proportional hazards model.

The second part of the course will focus on the analysis of contingency table data, where the cell entries represent counts that are cross-tabulated using categorical variables. Tests for (conditional) independence are discussed in the context of odds-ratios, relative risks and simple Chi²-tests. Upon successful completion of this courses, participants will be able to check test specific assumptions and will be familiar with common statistical methods in survival and categorical data analysis. The participants will have the ability to choose the suitable statistical analysis method for different data sets and will have insight how to interpret statistical results.

 

Survival analysis (Part 1): Overview of different Survival models, focussed on Kaplan Meier and Log Rank test, Cox Regression;

Analyzing categorical data (Part 2): Odds Ratio, Relative-Risk, Chi², McNemar, estimation of cut-offs, ROC/AUC analysis, sensitivity and specifity, scientific presentation of results;

For registration please fill in the registration form.

At a glance

  • Date: 12.12.2022, 9 am-4 pm
  • Language: English or German
  • DFP/CPD: 7 
  • Costs: 150 Euro (University)/ 300 Euro (Company)
  • Teaching Method: 20% lecture and 80% interactive
  • Lecturer:Katharina Eberhard, BA MA
  • Registration Deadline:14 days in advance
  • Location: ZMFSR EG-086/87 or WebEx

 

Statistical errors in medical research

This course is an introduction to the most common errors and pitfalls in statistics. Errors and pitfalls relating to study design and planning, data analysis, data interpretation and data presentation and even obvious data manipulations are discussed on the basis of several examples from scientific journals.

After successful completion of the course, the course participant will have the ability to read scientific papers in a critical manner and to question the methods and statistics used in publications. The course participant will have the knowledge to detect obvious errors in simple statistical models and will understand simple statistical results.

For registration please fill in the registration form.

At a glance

  • Date: 06.12.2022 (9am-1pm)
  • Language: English or German
  • DFP/CPD: 5
  • Costs: 100 Euro (University)/ 200 Euro (Company)
  • Teaching Method: 50% lecture and 50% interactive
  • Lecturer: Katharina Eberhard, BA MA and Andrea Groselj-Strele, PhD
  • Registration Deadline: 14 days in advance
  • Location: ZMF SR EG086/87 or WebEx

 

Data management

In this workshop critical concepts and practical methods to support planning, collection and dissemination of data in clinical and medical research are presented. Participants learn how to structure their research data, how to merge different files, import and export data. Merging data, coding and labelling data in a meaningful manner is essential and provides the basis for later data analysis. Additional topics: Convert string variables to a numeric variables, convert categorical string variables to labeled numeric variables, create categorical variables from continuous variables, create a new variable that is calculated from other variables, create date variable from a date that is stored as a.

Questions that are addressed in this workshop:

  • What to do with missing values?
  • How can I identify and remove duplicate observations?
  • How to deal with outliers? How can I better structure my data in excel?
  • How should I arrange my data file depending on my research design?
  • What is important in the data collecting process?
  • Do I have to consider the proposed statistical methods during the data management process?

For registration please fill in the registration form.

At a glance

  • Date: 09.11.2022 (9:30 am - 11:30 am)
  • Language: English or German
  • Costs: free of charge
  • Teaching Method: 20% lecture and 80% interactive
  • Lecturer: Katharina Eberhard, BA MA
  • Registration Deadline: 14 days in advance
  • Location: ZMF SR O3-012 or WebEx

 

 

Introduction into R for life science researchers

R is a statistical program that can be used interactively to explore data or used as a programming language to implement complex data analyses. It is extensible via libraries which can add both new functions for analysis and new data for reference. The course participants will take the first steps with R and learn to master the basics. In several sections, they will cover its basic syntax, making them ready to undertake their own first data analysis using R.

Upon successful completion of this course, participants will be familiar with: data structures in R, basic commands, data import/export, installation of packages, help function in R, data visualizations with basic plot functions.

For registration please fill in the registration form.

At a glance

  • Date: 28.11.2022 (9am-4pm)
  • Language: English or German
  • DFP/CPD: 7
  • Costs: 150 Euro (University)/ 300 Euro (Company)
  • Teaching Method: 20% lecture and 80% interactive
  • Lecturer: Slave Trajanoski, PhD
  • Registration Deadline: 7 days in advance
  • Location: ZMF SR EG-086/087 or WebEx

 

Intermediate R for life science researchers

R is a language and computational environment for statistics, advanced data analysis, machine learning and visualization; it is the most widely used programming language in bioinformatics.
Due to technological advances in molecular biology (genomics, large-scale systems biology) research in the life sciences is becoming increasingly data rich. The aim of this course is to provide students with a deeper knowledge how to use R for data analyses. For this purpose, participants will learn key concepts to write modular code.
Upon successful completion of this course, participants will be able to more proficiently use R for data analysis in life science research by applying loops, control structures and create complex graphics.

For registration please fill in the registration form.

At a glance

  • Date: 01.12.2022 (9am-4pm)
  • Language: English or German
  • Teaching method: 20% lecture and 80% interactive
  • Target audience: PhD students, technicians, medical doctors and researchers
  • Entrance qualifications: A basic understanding of R as shown by successful completion of the course “Introduction into R for Life Science Researcher”.
  • DFP/CPD: 7
  • Costs: 150 Euro (University)/ 300 Euro (Company)
  • Lecturer: Slave Trajanoski, PhD
  • Registration Deadline: 7 days in advance
  • Location: ZMF SR EG-086/087 or WebEx

 

Short introduction to Linux and command line data analysis

Most tasks of bioinformatics are processed using the Linux operating system (OS). Therefore, familiarity with and understanding of basic Linux command lines is essential for bioinformatics analysis. This course will provide you an introduction to the Linux OS and its basic command line tools. Material will cover logging into remote machines, filesystem organization and file manipulation. During the course participants will also learn how to use and submit jobs with SLURM on the cluster.

Upon successful completion of this course, you will be familiar with:

  • Basic Linux commands (including grep, sort, find, etc.)
  • Running tools over SLURM (cluster management and job scheduling system)

 For registration please fill in the registration form.

At a glance

  • Date: 11.10.2022 (2pm-4pm)
  • Language: English or German
  • Costs: for free
  • Lecturer: Slave Trajanoski, PhD
  • Registration Deadline: 7 days in advance
  • Location: ZMF SR O3-012 or WebEx

Introduction in working with MedBioNode cluster

Core Facility Computational Bioanalytics is operating High Performance Computing (HPC) infrastructure called MedBioNode at the Medical University Graz. This training will provide to the participants thorough description of this cluster as well as explain the possibilities how it can be used and accessed to run data analysis tasks.

The training is compulsory for all new users of the MedBioNode cluster.

For registration please fill in the registration form.

At a glance

  • Date: on demand 1 hour
  • Language: English or German
  • Costs: free of charge
  • Teaching method: 20% lecture and 80% interactive
  • Lecturer: Slave Trajanoski, PhD
  • Registration Deadline: -
  • Location: ZMF SR EG-086/087 or WebEx

 

Galaxy

Introduction into Galaxy for life science researchers

Galaxy is a scientific data analysis, data integration and data publishing platform based on workflows that aims to make computational biology accessible to research scientists that do not have computer programming experience.

The course participants will take the first steps with Galaxy. Upon successful completion of this course, they will be familiar with:

The course participants will take the first steps with Galaxy. Upon successful completion of this course, they will be familiar with:

  • Galaxy interface,
  • working with data upload,
  • data histories and data analysis,
  • as well as data visualization, data sharing and workflow execution

Hardware and Software:Please take a laptop with you. You can log into Galaxy with your Med Uni Graz-email. In case you don’t have one, please contact us in advance.

  • Date: 09.06.2022 (9am - 11am) or 17.10.2022 (9am - 11am) or 21.11.2022 (9am - 11am)
  • Location: ZMF SR O3-012 or WebEx
  • Costs: free
  • Teaching method: Interactive hands-on training

For registration please fill in the registration form .

16s rRNA microbiome data analysis in Galaxy

16s rRNA microbiome profiling is very popular method for quantitative bacterial characterization of different samples. Tools for the data analysis are already good established and they can be used in the web-based Galaxy platform. This workshop is intended to show full pipeline with all necessary steps of analyzing 16s rRNA microbiome data in Galaxy (preprocessing and QC, generating ASV table, alpha and beta diversity and groups comparison). The course participants will learn the tools and their parameters to properly analyze their own dataset. Upon successful completion of this course, they will be familiar with:

  • Upload Microbiome data in Galaxy,
  • Data preprocessing – generating feature table
  • Alpha and beta diversity analysis and visualization
  • Groups comparison
  • Accessing and reading the generated results

Requirements: Basics of working with Galaxy platform or previously attended Galaxy training

Hardware and Software: Please take a laptop with you. You can log into Galaxy with your MUG-email.

For registration please fill in the registration form.

At a glance

  • Date: 10.06.2022 (9am - 12am) or 18.10.2022 (9am - 12am) or 22.11.2022 (9am - 12am)
  • Location: ZMF SR EG 086 (18.10.2022) ZMF SR O3-012 (22.11.2022) or WebEx
  • Language: English
  • Costs: free of charge
  • Teaching Method: Interactive hands-on training

Cell Culture

High content screening for multiparameter phenotypic profiling of cells – staining, image acquisition and statistical analysis of data

High-Content Screening (HCS) uses automated microscopy, multi-parameter image processing, and visualization tools to extract quantitative data from cell populations and, thereby, allows a detailed analysis of individual cells regarding a variety of parameters. Compared to plate readers information on individual cells can be generated. The huge amount of data, which is generated, needs proper data management and statistic analysis for correct interpretation of data.

Theory: principle of common cell-based assays (cytotoxicity, apoptosis, oxidative stress, proliferation, organelle function) and of HCS, statistical methods.

Practical part: plate layout, seeding, treatment of plates for photometric and HCS analysis, MTS and cell staining, HCS data acquisition, statistical analysis of data

At a glance

  • Date: 29.06.-30.06.2022 (9am-3pm) or 23.11.-24.11.2022
  • Language: English or German
  • DFP/CPD: 7
  • Costs: 400 Euro (University)/ 550 Euro (Company)
  • Teaching Method: 20% lecture and 80% interactive
  • Lecturer: Eleonore Fröhlich, MD, Prof.
  • Entrance qualifications: Experience with cell culture
  • Registration Deadline: 14 days in advance
  • Location: ZMF seminar room EG086/087

 

Animal Experimentation

Basic course in laboratory animal science EU function A, implementation of procedures with animals, (former FELASA B)

Basiskurs in Labortierkunde EU Funktion A, Durchführung von Verfahren an Tieren“ (ehemalig FELASA B)

Theorie:

  • Einführung in die Versuchstierkunde
  • Ersatz- und Ergänzungsmethoden
  • Biologie der wichtigsten Versuchstierarten (Maus, Ratte und Kaninchen)
  • Anatomie, Physiologie, Verhalten und Umgang mit Versuchstieren, Erkennen von Schmerzen, Leiden und Schaden, Ernährung und Fütterungstechniken, Zucht und Genetik
  • Pflege und Haltung der wichtigsten Versuchstierarten
    Tierhaltungsräume, Barriere, Isolator, Haltungseinheiten, Mindestraumbedarf, Fütterung
  • Hygiene in Versuchstierhaltungen
    Reinigung, Desinfektion, Mikrobiologischer Status von Versuchstieren, Gesundheitsüberwachung des Tierbestandes, Verhinderung von Infektionen, Versuchstierkrankheiten (Erkennen, Behandeln, Schutzmaßnahmen, Einflüsse auf Versuchsergebnisse)
  • Ethische Grundlagen für tierexperimentelles Arbeiten
  • Rechtliche Grundlagen für tierexperimentelles Arbeiten
  • Durchführung von Tierversuchen
    Versuchsplanung und Protokollführung, Narkose und Schmerzausschaltung, Abbruchkriterien zur Leidensbegrenzung, Methoden der Applikation und/oder Probenentnahme, Grundlagen chirurgischen Arbeitens- spezielle Operationsmethoden, Prä- und postoperative Versorgung der Tiere, Tierschutzgerechte Tötung von Versuchstieren und Tierkörperbeseitigung

 

Praxis:

  • Handling, Fixierung
  • Applikation und Blutentnahme bei Maus, Ratte und Kaninchen
  • Inhalations- und Injektionsnarkose
  • OP-Feld Vorbereitung
  • Instrumentenkurs, Nahtkurs, Wundverschluss an Silikonpräparat
  • Auch projektspezifische Fragestellungen und zusätzliche Übungsstunden können (im Anschluss) bearbeitet werden.

Für die Kursanmeldung bitte das Registrierungsformular verwenden.

Überblick

  • Datum: 21.11.-25.11.2022, 08:00-17:30 (online und vor Ort)
  • Kurssprache: Deutsch
  • DFP/CME: 50
  • Kosten (Unterlagen & Imbiss inbegriffen): a) Angehörige der Med Uni Graz: EUR 700,- b) Angehörige anderer Universitäten (gültiger Studierendenausweis bzw. Immatrikulationsnummer): EUR 900,- c) MitarbeiterInnen aus Industrie und Wirtschaft, sonstige: EUR 1.300,00,-
  • Lehrmethode: 50% Vorlesung 
    und 50% Übung
  • Anmeldefrist: 01.October 2022 (solange Plätze frei sind)
  • Veranstaltungsort: Medical University of Graz/ Biomedizinische Forschung, Roseggerweg 48, 8036 Graz, Seminarraum
  • Kontakt: Dipl. vet. Aida Saric Tel.: +43 (0)316 385-78020

Basic course in animal studies, pig module

Basiskurs für Tierexperimentelles Arbeiten, Schweine Modul

Theoretischer Teil online

  • Schwein als Biomodell an der Biomedizinischen Forschung
    • a. gesetzlicher Hintergrund /3 R´s
    • b. Verschiedene Schweinerassen und deren Vorteile/Probleme bei Tierversuchen
    • c. Probleme und Lösungen bei der Durchführung von Langzeituntersuchungen beim Schwein
  • Klinische Untersuchung des Schweines
    • a. Einführung in die klinische Propädeutik (internistischer Untersuchungsgang)
    • b. Beurteilung des Allgemeinzustandes (overall performance category, OPC)
    • c. Dermatologischer Untersuchungsgang
    • d. Neurologischer Untersuchungsgang (neurologic deficit score, NDS)
  • Krankheiten, Applikationsmethoden und Blutentnahmetechniken
    • a. i.m., s.c., i.p., i.v.-Injektionstechniken
    • b. Blutentnahme aus der V. jugularis und der V. cava cranialis
    • Legen eines Verweilkatheters in die V.jugularis
    • c. Hämatologische und blutchemische Referenzwerte
    • d. Neurologischer Untersuchungsgang (neurologic deficit score, NDS)
    • f. Euthanasie
    • g. Diagnostik anzeigepflichtiger Schweineseuchen und wichtiger Zoonosen
  • Schwein und Biosicherheit
  • Das isolierte Schweinherz; Reduktion von Tierversuchen durch Organe aus dem Schlachthof
  • Anästhesie und Analgesie beim Schwein
  • Virtuelle Führung Preclinical imaging am BMF

Praktischer Teil

    • a. Artgerechter Umgang mit dem Schwein
    • b. Arbeiten am künstlichen Schweinemodell
    • c. Demonstration des Narkosegerätes
    • d. Vorbereitung, Prämedikation und Narkose, Zugänge legen
    • e. Injektionstechniken i.m., s.c., Harnkatheter
    • f. Euthanasie und Obduktion
    • g. Individuelle Fragestellungen

Überblick

  • Datum: 03.10.-04.10.2022; Details: 03.10.2022 (09:00-17:00 online per Webex) und 04.10.2022 (10:00-16:00 BMF Operationssaal)
  • Kurssprache: Deutsch
  • DFP/CME: 15
  • Kosten: EUR 980,- (Einheitspreis)
  • Lehrmethode: Theorie und Praxis
  • Zielgruppe: Human-, Tier- und Zahnmediziner sowie für Personen und / oder Wissenschaftler, die die geforderten Fachkenntnisse zur Durchführung von Tierversuchen erwerben möchten / nachweisen müssen sowie Tierpfleger, die ihre Fachkenntnisse vertiefen möchten. Der Fokus liegt bei diesem Kurs bei den Tierspezies Schwein
  • Teilnahmekriterien: idealweise FELASA B oder äquivalente Ausbildung, sowie die Planung und Durchführung von Tierversuchen am Schweinen
  • Anmeldefrist: 28.September 2022 bzw. bis die maximale Teilnehmer*innenanzahl erreicht ist (6 Personen)
  • Vortragende: Bubalo Vladimir, Dr.med.vet. Leiter der Core Facility Experimental Biomodels, leitender Tierarzt an der Biomedizinischen Forschung der Medizinische Universität Graz; vladimir.bubalo(at)medunigraz.at; Hausegger Bettina, Mag.med.vet. Biomedizinische Forschung, Medizinische Universität Graz; bettina.hausegger(at)medunigraz.at; Plasenzotti Roberto, Dr.med.vet. Leiter Anna Spiegel Tierhaltung, Universität Graz; birgit.reininger-gutmann(at)medunigraz.at; Saric Aida, Dipl.vet.med; Biomedizinische Forschung, Medizinische Universität Graz; aida.saric(at)medunigraz.at; Sipos Wolfgang, Univ.Prof. Dr.med.vet., Dipl. ECPHM. Universitätsklinik für Schweine, Veterinärmedizinische Universität Wien, und Tierarztpraxis Schwertfegen, Fachtierarztpraxis für Schweine; wolfgang.sipos(at)vetmeduni.ac.at; Wiederstein-Grasser Iris, Dr.med.vet. Dipl.ECVAA. Biomedizinische Forschung, Medizinische Universität Graz; iris.wiederstein-grasser(at)medunigraz.at;
  • Veranstaltungsort: Medical University of Graz/ Biomedizinische Forschung, Roseggerweg 48, 8036 Graz, Seminarraum
  • Kontakt: Dipl. vet. Aida Saric Tel.: +43 (0)316 385-78020

National legislation for animal experimentation – guidelines for project application

Erstellen eines Tierversuchsantrags

Theorie:

  • Gesetzliche Grundlagen Österreichs
  • Tierversuch: ja oder nein?
  • Tierschutzgremium
  • Antragsformular/Kriterienkatalog
  • Nichttechnische Projektzusammenfassung
  • Beispiele der Zuordnung von Schweregraden

Praktische Übung in der Gruppe

  • Erstellung eines Beispielantrags

Für die Kursanmeldung bitte das Registrierungsformular verwenden

Basic training course in laboratory animal science, Mouse module

Theory (1st day):

  • National legislation for animal experiments
  • Biology of the mouse
  • Handling, restraining and marking
  • Genetics and breedings
  • Application of substances
  • Humane killing and sampling
  • Housing, hygiene and health monitoring
  • Analgesia
  • Anaesthesia
  • 3R-concept

 

Practial training (2nd day):

  • Introduction and expectations for the course
  • Practical exercises
  • Handling
  • Anaesthesia
  • Application techniques: Intraperitoneal application, oral application, subcutane application
  • Bleeding techniques: Vena facialis, Vena caudalis mediana
  • Final blood sampling technique
  • Euthanasia: Cervical luxation, autopsy 

At a glance

  • Dates: 17.10. 2022, 08.00-17.00 and 18.10.2022, 08.00-13.00
  • Language: English
  • DFP:14
  • Costs: a) EUR 295,- Employees & student of Med Uni Graz b) EUR 385,- Members of other universities c) EUR 475,- industry
  • Teaching method: 50% lecture
    and 50% interactive
  • Lecturer: Univ. Prof. Dr. Hermann Dietrich; Tutors: Mag.med.vet.Lisa Barones & Dr. Stephan Kurat
  • Registration Deadline: 01.10.2022
  • Location: Medical University of Graz/ Biomedizinische Forschung, Roseggerweg 48, 8036 Graz; Room: BMF seminar room
  • Contact: Dipl. vet. Aida Saric Tel.: +43 (0)316 385-78020

 

Lab Techniques

Immunohistochemical staining

Visualization of antigens in cells and tissues by immunocyto- and histo-chemistry is a routine technique in life sciences. There are a variety of interfering factors and pitfalls. Tissue fixation, antigen retrieval, identification of appropriate detection method, and the inclusion of positive and negative controls are important factors for successful staining and interpretation of data.

Theory: selection of fixative and embedding, antigen retrieval, selection of antibodies, detection methods, multiple staining.

Practical part: staining of vessels with anti-von Willebrand factor antibody in different tissues using chromogenic and fluorescent detection, documentation of staining.

At a glance

  • Date: 30.11.2022 (9am-4pm)
  • Language: English or German
  • DFP/CPD: 7
  • Costs: 300 Euro (University)/ 400 Euro (Company)
  • Teaching Method: 20% lecture and 80% interactive
  • Lecturer: Eleonore Fröhlich, MD, Prof.
  • Registration Deadline:14 days in advance
  • Location:Medical University of Graz/ ZMF seminar room EG086/087

Real time PCR workshop

The quantitative real-time PCR workshop will provide attendees a comprehensive overview of real-time PCR including data analysis and statistics. According to the ongoing Corona situation the course is done online (WebEx) only.

The workshop is organized in modules:

Module 1: basic course showing the theory of qPCR:

  • Traditional PCR vs qPCR
  • Detection methods: TaqMan, SYBR
  • Commonly used terms in qPCR
  • Study design: RNA isolation, cDNA synthesis, qPCR, reference genes
  • Quality checks on raw data: check amplification curves, melt curves, non template controls, standards / efficiency value

Module 2: advanced course including data analysis

  • Quality checks on raw data
  • Theory of DataAnalysis
  • Absolut/relative Quantification
  • ddCq-methods; efficiency correction
  • Calculation using interplate calibrator
  • Data preparation for statistics
  • Troubleshooting

Module 3: statistics basics (Module 2 is mandatory for Module 3​​​​​​)

  • Introduction into SPSS environment
  • Import data
  • Handling missing values
  • Imputation methods
  • Outlier diagnostics
  • Descriptive Statistics
  • Explorative data analysis

Module 4: statistics advanced (Module 2 and Module 3 are mandatory for Module 4)

  • Differential expression analysis for two independent groups
  • Differential expression analysis for three or more independent groups
  • Differential expression analysis for two time points
  • Differential expression analysis for three or more time points
  • Adjusting p-values in cases of multiple hypothesis testing
  • Data visualization

At a glance

  • Date: tba (10am-3pm)
  • Language: English or German
  • Target audience: PhD students, technicians, medical doctors and researchers
  • DFP/CPD: 5
  • Costs: 150 Euro/day (University)/ 300 Euro (Company)
  • Teaching Method: lecture and hands on training
  • Entrance qualifications: for Module 1 (qPCR beginners) for Module 2 (advanced knowledge), Module 3 (Module 2 is mandatory), Module 4 (Module 2 and 3 are mandatory)
  • Lecturer: Andrea Groselj-Strele, PhD, Karin Wagner
  • Registration Deadline:14 days in advance
  • Location: WebEx

Flow cytometry basic course

Flow cytometry has become an essential tool in biological research as well as clinical diagnostics. The technology of flow cytometry enables high-speed analysis and isolation of cells in suspension by rapid and simultaneous analysis of multiple parameters at a single-cell level.

This one-day course will cover the basic fundamentals of this technique and will give an overview of its wide range of applications in biomedical research.

Particular emphasis will be given on the key aspects of designing a successful flow cytometry experiment, including multicolor panel design, instrument set-up, experimental and technical controls, compensation and spillover spreading. This will also be demonstrated by interactive exercises in the hands-on part session of the course. This course is aimed at those who are new to flow cytometry and intend to use it for their research work as well as for users who already have some experience but missed out learning the theoretical basics of flow cytometry. It is also a great opportunity for those users who want to refresh their knowledge about best practices in flow cytometry.

At a glance

  • Date: 11.10.-12.10.2022 (9am-1pm)
  • Language: English or German
  • Costs: 200 Euro (University)/ 500 Euro (Company)
  • Teaching Method: 75% lecture and 25% hands-on
  • Lecturer: Heimo Strohmaier, PhD
  • Registration Deadline:14 days in advance
  • Location:ZMF SR 3.OG 03-012

 

Kontakt

Katharina Eberhard, BA MA
T: +43 316 385 73012