Bioinformatics Tools and Blogs
Tools, Blogs
recent posts
- Comprehensive Computational Framework for Deciphering the Epigenetic Landscape of AcuteMyeloid Leukemia (AML) via Hidden Markov Models
- A Guide to Slurm Memory Management for Bioinformatics
- Omics Workflow Suite
- An Architectural Guide for Integrating a NextSeq 2000 with On-Premises NAS and HPC
- Recovering Undetermined Reads: The Local Demultiplexer Pipeline
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The Local Demultiplexer is an automated tool designed for efficient processing of next-generation sequencing data, addressing challenges in demultiplexing and quality control. It operates through splitting, demultiplexing, and concatenating FASTQ files, enhancing scalability and accuracy in bioinformatics. Its modular design and error logging facilitate seamless integration into existing workflows.
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This tutorial outlines methods for adjusting cell proportions using DNA methylation data from peripheral blood. Techniques discussed include RefFreeEWAS and Surrogate Variable Analysis (SVA), which don’t require external datasets, as well as Houseman et al., which does. It provides R code samples for implementing these methodologies.
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Epigenetics is a dynamic field exploring gene expression regulation without altering DNA sequences through mechanisms like DNA methylation and histone modifications. This research involves sophisticated data analysis methods and bioinformatics tools to understand epigenetic changes, with promising applications in personalized medicine, disease treatment, and insights into aging and environmental influences on health.