Sequence Alignment Algorithms: A classification of Key Algorithms
Sequence alignment algorithms are essential tools that enable scientists to compare biological sequences such as DNA, RNA, and proteins. These algorithms help identify regions of similarity that may indicate functional, structural, or evolutionary relationships between the sequences. Below, we explore 11 key categories of alignment algorithms, each with unique features and applications in the field […]
7 important tips for improving R programming skills
For those who are interested in starting R or have intermediate skills, these tips can help you use R more professionally: Master the Tidyverse Handling datasets can sometimes feel overwhelming if you’re using R for data analysis. The Tidyverse provides essential packages for data manipulation and visualization, making it a must-learn for every data scientist, […]
Complete list of R packages for Transcriptomics data analysis
Transcriptomics is one of the most exciting omics fields that enable researchers to study various diseases and biological systems. The abundance of transcriptome-related data has facilitated the design and implementation of hundreds of studies with considerable directions over the past years. Transcriptomics offers a deeper understanding of diseases and helps identify biomarkers in that disease. […]
Harnessing Multi-Omics for Biomarker Discovery in Cancer
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Advanced RNAseq Techniques for Differential Gene Expression Analysis
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Integrating Multi-Omics Data for Comprehensive Disease Insights
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Machine Learning Models for Cancer Diagnosis: Current Trends
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