Bioinformatics, AI, Genomics, Proteomics and Transcriptomics
Single-cell omics represents a transformative approach in biological research, enabling scientists to study individual cells within complex tissues and organisms.…
Introduction The emergence of single-cell multi-omics integration has revolutionized biological research by allowing scientists to study cellular heterogeneity with unprecedented…
Over the next two decades, multi-omics integration will evolve from a fragmented research tool into a universal healthcare backbone, enabling a…
The PAM50 gene set is a widely used panel of 50 genes for classifying breast cancer subtypes. While the gene…
The Genomic Data Commons (GDC) is the primary repository for The Cancer Genome Atlas (TCGA) data. This guide provides a…
Mapping SNPs to nearby genes is a common task in genomics, especially when studying the potential impact of non-coding variants.…
Principal Component Analysis (PCA) is a powerful tool for analyzing population structure and genetic variation using VCF (Variant Call Format)…
DNA compression is a specialized area of bioinformatics that aims to reduce the storage size of DNA sequences while preserving…
Choosing the right human reference genome is a critical decision in bioinformatics, especially for tasks like alignment, variant calling, and…
Bioinformatics is a rapidly evolving field, driven by advancements in technology, data generation, and interdisciplinary research. This step-by-step manual provides…
Bioinformatics is a multidisciplinary field that combines biology, computer science, and statistics. As the field grows, so do the variety…
This guide provides the latest tools, databases, and tips to identify disease-associated SNPs, including associated PMIDs, case/control numbers, and population…
Bioinformatics has evolved significantly over the past few decades, driven by advancements in sequencing technologies, computational power, and the development…
Galaxy is a powerful, web-based platform for data-intensive biomedical research. It provides an accessible interface for bioinformatics analyses, making it…
Introduction Survival analysis is a powerful statistical tool used in bioinformatics to understand the relationship between gene expression data and…
Revolutionizing Kidney Disease Research: Multi-Omics and Machine Learning Multi-omics is an advanced approach in biomedical research that integrates data from…
Deep Learning in Cancer Genomics and Histopathology: Transforming Precision Oncology The rise of artificial intelligence (AI) and deep learning (DL)…
Revolutionizing Omics Data Analysis with Deep Learning: A New Era of Predictive Medicine The explosion of high-throughput sequencing technologies has…
A Deep Dive into Linear vs. Non-Linear Methods for Multi-Omics Data Integration In recent years, the analysis of multi-omics data…
In a world increasingly dominated by data, equipping students with the skills to analyze and interpret complex datasets is more…