Do we have Big Data in Life Sciences? – Nikolay Oskolkov


Image result for nikolay oskolkov

Nikolay Oskolkov

I am a SciLifeLab bioinformatician from Lund University doing various types of analyses in Computational Biology. Originally from Theoretical Physics (PhD 2007), switched to Biological and Life Sciences 2012, worked in biomedical research now expanding towards evolutionary science and data science


Growing amounts of Next Generation Sequencing (NGS) data in Life Sciences provide new opportunities as well as pose a number of analytical challenges for Computational Biology and Bioinformatics. One of them is application of advanced methodologies such as Machine and Deep Learning that are ideally suited to address the massive amounts of data. In this webinar I will give an overview of some applications of Artificial Neural Networks (ANNs) to Single Cell Genomics, Microscopy Imaging and Genomics / Ancient DNA research areas.

Date: December 17th, 2019 – 4:00 pm

Language: English

Aspects of High Throughput Molecular Data Analysis


Aspects of High Throughput Molecular Data Analysis


Arif Harmancı


The molecular information acquisition is gaining strong presence in every aspect of life. Much of this stems from the decreasing cost of DNA sequencing and computational power. Coupled with the data, computational methods are generating waves of interesting results. Interestingly, we are far from making sense of the extremely complicated molecular data. The more data we generate, the more we realize the complexity of the cellular information processing. These developments bring so many exciting opportunities and challenges. In this presentation, I will review different aspects of how triage of genomics, transcriptomics, epigenetics is changing the way we understand how molecular health translates to individual health. I will also review some of the future challenges related to high throughput data acquisition and data analysis.

Date: 7 January 2019 – 8:00 PM on BioInfoNet

Language: English


RSG-Turkey is a member of The International Society for Computational Biology (ISCB) Student Council (SC) Regional Student Groups (RSG). We are a non-profit community composed of early career researchers interested in computational biology and bioinformatics.


Follow us on social media!