Session 1 - Introduction to Bioinformatics

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In this session, we will have an overview of analytical and theoretical resources for the program:

T-BioInfo: an intuitive and user-friendly interface for analysis of big data: NGS genomics and transcriptomics, mass-spectroscopy proteomics & metabolomics, structural biology, integration & machine learning, analysis of phenotypic & visual information.

Bioinformatics and Big Data: Concepts and applications

Oct 12, 2020
Overview of analytical and theoretical resources for the program: T-BioInfo: an intuitive and user-friendly interface for analysis of big data: NGS genomics and transcriptomics, mass-spectroscopy proteomics & metabolomics, structural biology, integration & machine learning, analysis of phenotypic & visual information. Educational Materials and Projects: resource overview, topics and skill sets covered. Expectations and schedule review for the training program, important deadlines and more.

Introduction to Genomics: DNA Variants and Mutations

Oct 14, 2020
Introduction to Next generation Sequencing: shotgun sequencing reads, the need for structured data and associated bioinformatics methods: processing (germline and somatic mutations), analysis (mapping, detecting variants) and interpretation (significant and insignificant mutations, etc).

Introduction to Transcriptomics: Gene Expression data analysis

Oct 19, 2020
How we can measure functional proteins by the way of mRNA abundance and accurate identification of alternative splicing: an overview of RNA-seq, read quality and pre-processing, mapping on reference genome using various tactics (alignment and alignment-free quantification), Quantification of genes and transcripts.

Introduction to BioML ( Statistical analysis and Machine Learning)

Oct 21, 2020
Using statistical approaches to study processing pipeline outputs, perform exploratory data analysis, hypothesis testing, data mining and classification.

NGS Data analysis in Python & R

Oct 26, 2020
Methods on NGS comparative data analysis, association and visualization of complex and high dimensional data using the T-BioInfo platform and R studio and Python.

Bioprojects

Oct 28, 2020
Planning your project proposal, how to present your scientific data and hypothesis, Q&A sessions, Audio & Video Presentation, Case Studies & Publications, Datasets.