Single-cell, Metataxonomics, and more - What's new in Bioinformatics?

Big data analysis often requires trying different methods to find the correct fit for the data. It also involves numerous lines of code and complicated mathematical equations, increasing the likelihood of errors. Tauber Bioinformatics platform, known as T-BioInfo, is a cloud-based tool that enables a researcher to analyze data. The platform has a user-friendly interface that hides these codes and equations and enables a researcher to analyze the data easily. The tool supports multiple data types and has different workflows. This provides a flexible, interactive, and visualizable platform for every researcher bridging the gap between biology and computational methods. 

T-bio info server

Interested in learning more about the platform and how to use it? The Omics Research Symposium has a session dedicated to the T-Bioinfo platform on 

April 1st, 2022. Dr. Julia Panov, Mr. Avi Titievsky, Dr. Elizaveta Taranenko, and Dr. Vadim Sharov from the Tauber Bioinformatics Research Center (TBRC), Israel are joining the session.  Their talk focuses on the various bioinformatics analysis done in the T-BioInfo platform and how they are a more stable and secure solution to bioinformatics analysis. 

Topics covered in the session:

Analysis of single-cell transcriptome data enables detailed understanding of multicellular tissue in health and disease, Dr. Julia Panov

Dr. Julia Panov

Single-cell transcriptomics is the buzzword in today's world. According to NCBI, in the last two years, there have been almost 12,000 papers published with the keyword "Single-Cell Transcriptomics". But what is single-cell transcriptomics all about? This technology allows the dissection of gene expression at single-cell resolution, which greatly revolutionizes transcriptomic studies. A number of scRNA-seq protocols have been developed, and these methods possess their unique features with distinct advantages and disadvantages.

Learn all about single-cell transcriptomic from Dr. Julia Panov, Associate Director of TBRC, who will talk about the data sets generated and the steps of analysis using a diabetic kidney dataset.

The talk will focus on the bigger challenges and how the T-BioInfo platform makes analysis easier. 

Containerized pipeline as a stable and secure solution to bioinformatics analysis tools, Mr. Avi Titievsky

Mr. Avi Titievskiy

One of the biggest challenges of scientific research is reproducibility. In order to achieve that, we have taken the effort to integrate cloud services into the T-BioInfo platform.

In the upcoming Omics Research Symposium, Mr. Avi Titievsky, Software Developer, TBRC will talk about the containerization of our pipelines on the T-Bioinfo platform. The technology provides a reliable, secure, and scalable solution for developing and using bioinformatics pipelines.

The talk highlights the ease, security, and user-friendliness of analyzing microbiome data on any operating system or the cloud using the singularity container for analysis of 16S rRNA sequencing data, developed at TBRC.

Analysis of 16S rRNA metataxonomics data & Spatially resolved transcriptomics, Dr. Elizaveta Taranenko 

Elizaveta Taranenko

The microbiome is one of the widely studied fields to understand many aspects of human health, pathogen-host interactions, environmental changes, plant-soil nutrition interactions, etc. Is metataxonomics the same as metagenomics?

Learn all about it from the expert, Dr. Elizaveta Taranenko, Research Scientist, TBRC, who will also talk about the newly implemented section on the T-BioInfo platform for analysis of 16S rRNA datasets. The talk will discuss different algorithms and approaches for analyzing microbiome communities.

Manifold Learning: T-BioInfo section and its applications for the analysis of biological processes, Dr. Vadim Sharov

Vadim Sharov

Manifold learning methods are one of the most exciting developments in machine learning in recent years. Recently, manifold learning has also been applied in utilizing both labeled and unlabeled data for classification, that is, semi-supervised learning. It is also a key component of the single-cell data analysis pipeline.

Learn about Manifold Learning and the algorithms available on the T-BioInfo: Bioinformatics Platform for Multi-Omics Data from Dr. Vadim Sharov, Research Scientist at Tauber Bioinformatics Research Center, Haifa. Also, learn how to use them for the analysis of biological processes.

You can attend all these sessions besides other exciting sessions by registering for the upcoming Omics Research Symposium.

Registration Link:

Check out the full schedule for the symposium: