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  • 👋 Hi, I’m Jun, a principal computational biologist
  • 👀 I’m interested in bioinformatics, data science, machine learning ...
  • 🌱 I’m currently working on Devops, MLops, and web application development.
  • 💞️ I’m looking to collaborate on computational biology and machine learning
  • 📫 Reach me @ [email protected]

Jun Yu's Projects

ads1-notebooks icon ads1-notebooks

Copies of notebooks used in the practical sessions for Algorithms for DNA Sequencing

aws-batch-genomics icon aws-batch-genomics

Software sets up and runs an genome sequencing analysis workflow using AWS Batch and AWS Step Functions.

azimuth icon azimuth

Machine Learning-Based Predictive Modelling of CRISPR/Cas9 guide efficiency

blast2bam icon blast2bam

Blast2Bam uses the XML results of Blastn, the reference and the fastQ or fasta file(s) to output a SAM file.

deepclip icon deepclip

This repository contains all DeepCLIP Python code

dnnpremir icon dnnpremir

identify pre-miRNAs using CNN models trained on huamn pre-miRNAs dataset

fetchngs icon fetchngs

Pipeline to fetch metadata and raw FastQ files from public and private databases

fucking-algorithm icon fucking-algorithm

刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.

gnl_scorer icon gnl_scorer

this is a software for sgRNA activity prediction with great generalization

ilearn icon ilearn

iLearn, a Python Toolkit and Web Server Integrating the Functionality of Feature Calculation, Extraction, Clustering, Feature Selection, Feature Normalization, Dimension Reduction and Model Construction for Classification, Best Model Selection, Ensemble Learning and Result Visualization for DNA, RNA and Protein Sequences.

ilearnplus icon ilearnplus

iLearnPlus is the first machine-learning platform with both graphical- and web-based user interface that enables the construction of automated machine-learning pipelines for computational analysis and predictions using nucleic acid and protein sequences.

kmer icon kmer

A Python code for generating k-mer features for a set of DNA/ genomic sequences.

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