MASRI Research Course

Topic :

• MASRI MOLECULAR NETWORK : MASRI &USA , MASRI &CHINA , MASRI & ZEWAIL ,MASRI & OTHERS.

• EPIGENETIC MECHANISMS ACROSS SCALES: FROM MOLECULES TO ENVIRONMENT AND EVOLUTION.

• TRANSPOSABLE ELEMENTS AND EPIGENOME EVOLUTION.

• Programming Future Generations.

• Epigenetic mechanisms governing cell differentiation and cancer processes .

• Integrative Single-Cell Chromatin and Transcriptome Profiling Uncovers Cell-Type Specific Regulatory Interactions .

• Targeting Cancer Epigenome: strategies for prevention and treatment .

• Molecular Biology and Medicine: A Primer for the Clinician .

• Next-Generation Sequencing (NGS): Stimulating the Next Generation of Cancer Diagnostics and Treatment.

• Tumor Microenvironment Immune Diversity Revealed by Single-Cell Sequencing.

• Cancer as a Tissue Anomaly: Classifying Tumor Transcriptomes Based Only on Healthy Data.

• Oncogenomics: prospects for the future.

• DNA Nanotechnology for Cancer Diagnosis and Therapy.

• Evaluation of droplet digital PCR and next generation sequencing for characterizing DNA reference material for KRAS mutation detection.

• High-Throughput Droplet Digital PCR System for Absolute Quantitation of DNA Copy Number

NGS Data Analysis Workshop : Practical Analysis Variant Calling ,Chip-Sequencing Hands-On Workshop on whole Genome Next Generation Sequencing.

Biobank Managment for a healthier word

• Biobank Accreditation • Comprison between 17025and 20387.

• ISO-20387 Guidelines • Biospecimen Proficiency test programme (IBBL).

• Role of LIMS to overcome Bioreposietry operartional Data Managment System.

• BiobankPro® Biobanking Sample Management System (Brooks Lifesciences).

• Core Informatics (Thermo Fisher Scientific).

• Openspecimen (Krishagni product). - IARC.

• BCNET: biobank &cohort building networking

Phase 1: Preprocessing of the raw reads

Step 1.1: Quality check

Step 1.2: Adaptor and Quality trimming + Removal of very short reads

Step 1.3: Quality recheck

Phase 2: Determining how many read counts are associated with known genes

Step 2.1: Alignment Step 2.2: Count generation

Step 2.3: Collecting and tabulating alignment stats

Phase 3: Statistical analysis