Exploring Bioinformatics Universe
Disclaimer:This podcast transcript was generated by NotebookLM, an AI-powered tool, based on provided content. The information presented has been reviewed and fact-checked for accuracy to the best of our ability as of March 26, 2025. However, listeners are encouraged to consult primary sources for critical applications. Podcast Transcript: Understanding Human Genome Assemblies (HG19 and HG38)…
Photo credit: Randy Stewart / Stewtopia / blog.stewtopia.com Welcome back to the final installment of our Unix command series! In this part, we delve into scripting and automation—powerful capabilities that streamline your workflow by automating repetitive tasks and customizing your Unix environment. 1. Automating Tasks with cron What It Does: cron is used to schedule…
Welcome back to our Unix command series! This installment explores advanced file handling commands that go beyond basic file manipulation. These tools will help you manage large datasets, compress files, and maintain efficient file storage and transfer. 1. Archiving Files with tar What It Does: tar (tape archive) is used to combine multiple files into…
If you’ve ever worked with confocal microscopy, you know how tedious it can be to separate and save channels from multiple images manually. Luckily, you can automate this process using a simple code snippet in FIJI (which, by the way, stands for Fiji Is Just ImageJ – notice the initials?). In this tutorial, I’ll guide…
Welcome back to our Unix command series! In this installment, we delve into process management tools, crucial for controlling and monitoring the processes that run on your Unix system. Whether you’re debugging issues or optimizing performance, these commands are indispensable. 1. Managing Active Processes with ps What It Does: ps (process status) displays information about…
Welcome back to the final installment of our R for Bioinformatics series! In this post, we’ll dive into the application of machine learning (ML) and artificial intelligence (AI) techniques in bioinformatics, using R to predict, classify, and understand complex biological systems. Introduction to Machine Learning and AI in Bioinformatics Machine learning and AI are transforming…
Welcome back to the final installment of our Python for Bioinformatics series! In this post, we will delve into some advanced topics that are crucial for modern bioinformatics: handling next-generation sequencing data, automating bioinformatics workflows, and applying deep learning techniques to biological data. Introduction to Advanced Topics in Bioinformatics As bioinformatics evolves, the complexity and…
Welcome back to our Unix command series! This installment is all about network management tools in Unix. Whether you’re an administrator or a regular user, understanding these commands can help you troubleshoot network issues, monitor connections, and secure your network. 1. Checking Network Connections with netstat What It Does: netstat (network statistics) is a versatile…
Welcome back to our R for Bioinformatics series! In this fourth post, we explore the field of integrative bioinformatics, which combines data from various omics sources to enhance the understanding of biological processes and disease mechanisms. We’ll examine how R can be used to manage, analyze, and visualize multi-omics data. Introduction to Integrative Bioinformatics Integrative…
Welcome back to our Python for Bioinformatics series! In this installment, we’ll dive into the world of protein structure analysis using Python. We’ll cover tools for parsing protein data bank (PDB) files, visualizing protein structures, and leveraging machine learning to predict protein functions and interactions. Introduction to Protein Structure Analysis Protein structure analysis is crucial…
