Lists (2)
Stars
A growing collection of bioinformatics tutorials, project guides, tools, and articles I’ve developed to make bioinformatics more accessible.
A DIY Guide To Single-Cell RNA-Sequencing Analysis
Tools to process and analyze deep sequencing data.
Automatic CHARMM-GUI browser interaction with Python
Methods for label-free mass spectrometry proteomics
Spatial transcriptomics analyses and decoding in R
A curriculum for learning about foundation models, from scratch to the frontier
Google's Bard Scientific Publications Extension (supports: arxiv, biorxiv, pubmed, ieeexplore, Sciencedirect, ACM, Nature, Cell)
An R package for automatically screening cell type signature in specific tissue/organ/cancer.
[NeurIPS2025] "AI-Researcher: Autonomous Scientific Innovation" -- A production-ready version: https://novix.science/chat
Updated SignatureAnalyzer-GPU with mutational spectra & RNA expression compatibility.
Official open-source of Accurate structure prediction of immune proteins using parameter-efficient transfer learning
Informatics for RNA-seq: A web resource for analysis on the cloud. Educational tutorials and working pipelines for RNA-seq analysis including an introduction to: cloud computing, critical file form…
RNA sequencing analysis pipeline using STAR, RSEM, HISAT2 or Salmon with gene/isoform counts and extensive quality control.
The library for web and native user interfaces.
Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.
Machine Learning Exercise: Exploring the concept of Upsampling / Oversampling and using KNN, Decision Tree and Random Forest to predict Class on Lymphography data from UCI.