Exploring Bioinformatics Universe
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…
Welcome back to our R for Bioinformatics series! In this third installment, we delve into the field of proteomics — the large-scale study of proteins, particularly their structures and functions. We’ll cover how to use R packages designed for proteomics data analysis, highlighting manipulation, normalization, and visualization of proteomics data. Introduction to Proteomics in R…
Welcome back to our Python for Bioinformatics series! In this installment, we explore tools and techniques for genomic data analysis using Python. We’ll cover how to work with genomic data using specialized libraries like PyVCF for variant files and Pysam for handling SAM/BAM files, as well as discuss basic visualization techniques for genomic data. Introduction…
