RNA-Seq and Protein Structure Prediction on Google Cloud
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Updated
May 4, 2023 - Jupyter Notebook
RNA-Seq and Protein Structure Prediction on Google Cloud
Nazzari, et al. (2023) 'Investigation of the effects of phthalates on in vitro thyroid models with RNA-Seq and ATAC-Seq'
A easy configured and deployed pipeline for joint analysis with RNA-seq and ChIP-seq.
Project for the Transcriptomic course of "Bioinformatics for Computational Genomics" MSc
Analyse combined miRNA/mRNA reads produced using Combo-Seq kit
RNA-seq workflow: gene-level exploratory analysis and differential expression.
High-throughput Workflow for Processing and Analyzing RNA-Seq Data
HTSeq (0.11.2) wrapper module: Counting reads in features with 'htseq-count'
R scripts for human and marine data analysis
TCM: visualizes trajectories and cell populations from single cell data
A set of functions built for analysis and visualization (color blindness friendly) of single-cell and bulk RNA-sequencing data
Generate Lorenz plots and Coverage plots directly from BAM files
Generate the signature subway and stream plots
Step one of the STREAM ssRNA-Seq Trajectory pipeline
Example of how to apply machine learning (ML) approaches in building a predictive model. RNA-seq data set used to train and evaluate the performance of different ML models.
Code to reproduce analyses in Iron Responsive Element (IRE)-mediated responses to iron dyshomeostasis in Alzheimer’s disease (Hin et al.)
Quantification and Visualization of Variations of Splicing in Population
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