VII International Meeting on Bioinformatics and OMICs: BIOINFOMICs 2018 celebrated in October 28-31, 2017.

As part of OMICs 2017 meeting we are organizing:

- Simposium "Genomics and Bioinformatics in Medicine",

- Workshop "OMICS & Structural Biology of viral infections: tightening the control of re-emerging infectious diseases",

- Post-meeting course "Quality control in molecular diagnostics",

Simposium "Genomics and Bioinformatics in Medicine"

- Liquid Biopsy & Circulating Nucleic Acids

- Molecular Diagnostics

- Integrative Big Data Analysis

- Biomarker Signatures

- Non-coding RNAs-microRNA, isomiRs, small RNAs, long non-coding RNAs

- MicroGenomics & Single-Cells Diagnostics

- Next Generation Sequencing (NGS)

- MIQE & QM & Standardisation Strategies in Molecular Diagnostics

Workshop “OMICS & Structural Biology of viral infections: tightening the control of re-emerging infectious diseases”

With special emphasis in Dengue, Zika and Chikungunya viruses

Topics of interest:

- Virion structure, 3D structure of viral proteins, membrane fusion and inhibitors, mechanism of antibody neutralization, cell receptors, virus entry, drug design, inhibition of non-structural proteins

- Technologies for OMICS data generation

- Bioinformatics and statistical methods for genomic and proteomic research

- Integrative OMICS and Big data analysis.

- System Biology based bioinformatics software development: Network Biology, Gene-protein-drug-diseases networks.

- Molecular modeling and computational simulations

- Analysis of protein interaction networks

- Prediction of protein:protein interactions

Post-meeting course "Quality control in molecular diagnostics"

Target audience: Beginners to Advanced qPCR users

Entrance qualifications: Basic experience in Omics Reserach

Description: This course will give you the tools in how to do proper quality control of your qPCR assays to be used in molecular diagnostics. It will describe which controls that is needed, how they should be performed and the statistics on how to do the evaluations.

The course contains:

Introduction to statistics for qPCR

- Principles of statistics

- Which type of statistics is suitable for qPCR?

- Gaussian distribution, mean, standard deviation, confidence intervals

Absolute quantification and standard curves

- What is a standard curve?

- What type of standard material should be used?

- What does linear regression mean?

- How are the calculations performed?

qPCR assay validation

- How to validate a qPCR assay, which factors are important?

- How to calculate Limit of Detection

- How to calculate Limit of Quantification

Accuracy and precision

- How is accuracy tested?

- How is precision tested?

- Reference materials and standards

- Which controls should be included?

Hands-on lab analyzing efficiency, repeatability, LOD and LOQ for a qPCR assay. Quantity of unknown samples are determined by standard curve analysis. Demonstration of how the software GenEx easily can be used for calculations of the parameters.

Professor in charge of the course:

Mikael Kubista, CEO, Tataa Biocenter & Head of Department, BTU, CAS

Professor in charge of the course:

Dr Kubista is the head of the department of gene expression at the institute of Biotechnology of the Czech Academy of Sciences, and founder and CEO of the TATAA Biocenter ( He was one of the pioneers contributing to the development of quantitative real-time PCR (qPCR) and introduced qPCR for single cell expression profiling. He led the development of reagents for high throughput single cell expression profiling and quality control at TATAA. He also developed qPCR tomography for intracellular expression profiling. Kubista co-authored the Minimum Information for Publication of Quantitative. Real-Time PCR Experiments (MIQE) guidelines, was partner of the SPIDIA project, and is member of the CEN and ISO workgroups drafting the forthcoming guidelines on pre-analytics.


List of Oral Presentations

"Novel Technological Platform for Genomic Discovery,  Genomics in disease and drug discovery, Integrative Big Data Analysis"
Speaker Title Institution Country
Gerardo E. Guillén, PhD. Pending Title Center for Genetic Engineering and Biotechnology, CIGB cuba
Mikael Kubista, Prof. Two-tailed PCR for ultrasensitive detection of microRNAs and some general quality concepts in molecular analyses Dept. of Gene Expression, BTU, CAS (Czech Republic) Czech Republic
Dania Vázquez-Blomquist, PhD Genomic Approaches to Improve the Treatment of Tumors with Interferons Center for Genetic Engineering and Biotechnology, CIGB Cuba
Lajos Pusztai, M.D, D.Phil. Chemotherapy induced evolution of the breast cancer genome
Yale Cancer Center Genetics and Genomics

Carl Morrison, MD. Combination immunotherapy and biomarkers

Roswell Park Cancer Institute.NY.

Hamlet Camacho, MSc. Effect of human epidermal growth factor on tumor cells inhibition and DFU healing: analysis of gene expression profile. Center for Genetic Engineering and Biotechnology, CIGB

Hassan Ashktorab, Prof. Omic era and precision medicine? Case of genomics markers in colon cancer subtypes

Howard University Cancer Center

Jean-François Laes, PhD. The use of the liquid biopsy in cancer, from research to clinics

OncoDNA (Belgium)

Elmer Fernandez, PhD. Pursuing personalized medicine through omics data analytics 

Head,Bioscience Data Mining Group, Univ Catolica de Cordoba

Annamaria Confaloni, PhD. microRNA as Biomarker Signatures in Frontotemporal Dementia Italian National Institute of Health

Tatsuhiro Shibata, PhD. Application of sequencing technology to cancer precision medicine

National Cancer Center, Tokyo, Japan

Kenta Nakai, PhD. Analyses of Transcriptional Regulation through a Variety of OMICs Data

The University of Tokyo

Dimcho Bachvarov, PhD. Development of a functional assay and biomarkers identification, predictive for response of serous ovarian cancer patients to PARP inhibitors-targeted therapy Département de médecine moleculaire, Université Laval



Heber BCF