Bioinformatics is the use of Computational resources to handle the biological data. This Society is
Excited to share my latest video on utilizing Docker for Bioinformatics! 🚀 In this tutorial, I delve into the basics of Docker commands like docker pull, docker images, docker run, and docker rmi, demonstrating their importance in creating reproducible and scalable bioinformatics workflows. Complete Series available here https://www.youtube.com/watch?v=_IXXh_SLAqE
Hey everyone! We've got some thrilling news to share with you. We've just received my brand new RTX 4080 graphics card, and I couldn't be more excited! 🎉
🔬 For all my fellow scientists and researchers out there, this upgrade is a game-changer for Molecular Dynamics (MD) simulations. With the incredible computational power of the RTX 4080, we're set to unlock new insights in the world of molecules and materials. 🧪🔍
💻 And for my fellow tech enthusiasts, this powerhouse is going to supercharge my machine learning projects, making them faster and more efficient than ever before. 💡🤖
I can't wait to dive into some serious computing, and I'll be sharing the journey with you all. Stay tuned for some amazing breakthroughs and discoveries!
Unlock the secrets of somatic cancer variant interpretation in this comprehensive tutorial! Join us as we dive deep into the world of genomics, exploring how to leverage ANNOVAR and VIC pipeline to dissect complex cancer mutations. Learn the essential tools, techniques, and best practices to analyze somatic variants with precision and confidence. Whether you're a seasoned bioinformatician or just starting your journey in cancer genomics, this video will empower you with the knowledge and skills you need to make meaningful discoveries in the realm of oncology. Watch now and revolutionize your cancer research!
Don't forget to like, subscribe, and share this video with your fellow researchers to spread the knowledge! 🔬🧬
20/07/2023
🌟 Discover the Exciting World of RNA-seq Data Analysis 🧬🔬
🔥 Join our Free RNA-seq Data Analysis Course with Engaging Video Tutorials! 📹🎓
Are you curious about the groundbreaking field of RNA-seq data analysis? 🤔🧬 Unlock the secrets of gene expression and delve into the cutting-edge techniques used in this transformative field. 🚀✨
From basics to advanced concepts, this course will equip you with the skills needed to interpret and analyze RNA-seq data effectively. 📈📊 Whether you're a student, researcher, or just passionate about genomics, our course is tailored to suit all levels of expertise. 🧑🎓👩🔬
Don't miss this fantastic opportunity to expand your knowledge and stay ahead in the exciting world of RNA-seq data analysis. 🌐🧬 Join us today and embark on a journey of scientific discovery! 🚀💡
Learn how to convert StringTie output files to a count table that can be used with DESeq2 for differential gene expression analysis. This step-by-step guide covers everything you need to know, including using gffcompare and prepDE.py to create the count table and loading the data into DESeq2 for analysis.
code is avaiable on my GitHub repo.
https://github.com/malikbak/Python-Bioinfo
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Discover the secrets of gene expression data analysis with this step-by-step tutorial using R. In just 5 minutes, you'll learn how to analyze gene expression data and correlate it with different conditions. This tutorial covers data normalization, differential expression analysis, and functional annotation. Whether you're a biologist, data analyst, or bioinformatician, this tutorial will help you enhance your skills and take your gene expression analysis to the next level.
code is available on GitHub
https://github.com/malikbak/R-codes-repo
Description: In this 2-minute video, you'll learn how to create a gene structure model using R programming language. Follow along as we walk you through the process, from loading your data to generating a visual representation of your gene structure. Whether you're a beginner or an experienced R user, this tutorial is perfect for anyone looking to create a gene model in R quickly and easily. So grab your computer and let's get started!
you can also download the code from the GitHub repository
https://github.com/malikbak/R-codes-repo
Unlock the potential of your genomic data with this beginner-friendly bioinformatics tutorial. Using Python, you'll learn how to handle VCF files, retrieve meaningful data, and create visually appealing genotype tables and variant density plots. Whether you're a biologist or a data analyst, this short video will help you gain the skills you need to succeed.
program Available on GitHub:
https://github.com/malikbak/Python-Bioinfo.git
Want to set up a Conda environment for your Python projects? This tutorial will guide you through the process of installing Conda, creating a new environment, and activating it. Follow along with our easy step-by-step instructions and start developing in a clean and isolated environment.
23/10/2022
In DESeq2 and limma, differential expression analysis goes beyond gene expression. As part of this course, you will learn how to interpret RNAseq data, DNA methylation data, microarray data, and, metagenomics ASV data, among other things. As a prelude to learning DESeq2 and Limma, you will learn about data structure and algorithm in R language, expression data sources and manipulation, cleaning, and transformation of biological data. Various fields related to bioinformatics, biotechnology, microbiology, soil microbiology, and others will be covered in this course.
Registration link:
https://forms.gle/kd9jHgBJnZVhn8Xb6
Starting from 28 October
05/09/2022
Molecular dynamics simulation studies of protein-nucleic acid complexes are more complicated than studies of either component alone the force field has to be properly balanced, the systems tend to become very large, and a careful treatment of solvent and of electrostatic interactions is necessary. Recent investigations into several protein-DNA and protein-RNA systems have shown the feasibility of the simulation approach, yielding results of biological interest not readily accessible to experimental methods.
SOBP provide bioinformatics services in the following domain:
• NGS data analysis (all sub-domains)
• Bioinformatics development (Python and Rshiny)
• Bioinformatic scripting (Python, R language, bash scripting)
• Drug Designing
• MD simulation (100ns in just 8 hours or 100ns in just 2 hours)
• Metagenomics
• Cancer genomics
• Machine learning