Computational Biology & Bioinformatics Resources
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Updated
Sep 9, 2025 - Shell
Computational Biology & Bioinformatics Resources
🩺 Assessing StringTie, Salmon, and Kallisto with simulated RNA-Seq reads with noises introduced in read- and annotation-level.
Common BASH routines for computational biology
A protocol for applying low-coverage whole-genome sequencing data in structure variation studies
A tailored identification framework to depict the landscape of transcribed conserved non-coding elements (TCNEs)
Machine learning and bioinformatic workflows for gene discovery.
Modular RNA-seq variant calling and annotation framework (hg38) integrating STAR and GATK Best Practices to extract high-confidence SNPs and enable gene-level and systems biology analyses of expressed genetic variation.
Complete Pipeline for RNA-seq data analysis: From FastQ to differntial gene expression to annotated Variations.
Targeted long-read transcriptomic profiling pipeline for FFPE tumor samples using Oxford Nanopore sequencing.
Leukemia is a cancer of blood-forming tissues. For this reason, it is relevant to analyze the differences in gene expression for people affected by this disease, which is the purpose of this project.
Independent Research in Cell and Systems Biology I at the University of Toronto
Genomic data analysis files and tools for processing Arabidopsis thaliana sequencing data
Data and scripts associated with H. limbata 2014 1st instar transcriptome
RNA-seq analysis of FOXP1-regulated genes in a mouse hippocampus model with integration of schizophrenia GWAS data
Pipeline for Analysis of RNA sequencing data.
SNU-seq data processing and analysis scripts
This project studies the evolution of color polymorphism in the granular poison frog Oophaga granulifera
Workflow to comparative transcriptomics
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