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Introduction As a student in bioinformatics, I am constantly dealing with data from single-cell RNA sequencing (scRNAseq). Analyzing these large datasets can be challenging, especially when it comes to visualizing and exploring clusters within the data. So, for one of...
Genome assembly is a key concept in bioinformatics, and it involves reconstructing a long DNA sequence from short, overlapping fragments known as reads. The purpose of this article is to explain how we can use De Bruijn graphs and Eulerian paths to solve genome...
A Step-by-Step Guide to RNA-seq Data Processing: From Data Download to Raw Counts In this article, I will walk you through the process of analyzing RNA-seq data, starting from downloading the raw data to obtaining gene expression counts. This is an essential workflow...
As a Graduate Ambassador at the Luddy School of Informatics, Computing, and Engineering at Indiana University, I play a pivotal role in bridging the gap between the university and prospective students. This position allows me to engage in a variety of activities aimed...
Bioinformatics data encompasses various types, each crucial for advancing our understanding of biological systems and enhancing medical research. Bioactivity data reveals how compounds interact with biological systems, essential for drug discovery and safety...
From the foundational Needleman-Wunsch Algorithm in 1970 to AI-powered techniques in 2024, the field of DNA sequence alignment has seen transformative advancements. These innovations have revolutionized genomics, making sequence analysis faster, more accurate, and...
Exciting news from the forefront of single-cell RNA sequencing! Just attended an in-depth session on Trail Maker, an innovative platform transforming how we analyze and understand cellular data. Key Highlights: Complete Single-cell RNA Sequencing Solution: Trail Maker...
In the rapidly evolving field of bioinformatics, understanding the different file formats is crucial for data analysis and research. Here's a quick guide to some of the most commonly used bioinformatics files
Exciting News for Data Enthusiasts and Bioinformatics Professionals! I am thrilled to share my latest project - a dynamic dashboard visualizing Gene Expression Data, created using R Shiny. This tool is designed to help researchers and data scientists gain insights...
Data visualization plays a crucial role in analysis by bridging the gap between data and results. Mass spectrometry facilitates an in-depth examination of complex proteomes. Given the widespread availability of mass spectrometry, we are now faced with a vast amount of...
