Lena Huang's Projects
Split your big directory [1,2,...,n] into pieces of small directory[1:[1,2,3], 2:[4,5,6], ... n[n+3, n+4, n+5]]
Bash files that may useful in the future.
Conda recipes for the bioconda channel.
Computational Biology- Spring 2021
Those readme contains our generated polyphonic MIDI format data from COMP 790 Lecture. Those data are in midi format and you can listen to it.
meta's LLMA-2 based chat framework, optimized for latest news contents.
cd && git clone --bare https://github.com/craffel/dotfiles.git .dotfiles && git --git-dir=.dotfiles --work-tree=. checkout
The 17th sequence of fna File run against CRISPRCasFinder encounter traceback error
Gin is a HTTP web framework written in Go (Golang). It features a Martini-like API with much better performance -- up to 40 times faster. If you need smashing performance, get yourself some Gin.
glmnet package with initialization
minimum vertex cover algorithm applied to human genetic kinship data (genetic_minimum_vertex_cover)
Lectures on Genome Wide Association Studies (GWAS) using Python, Limix and Jupyter Noteboos
This is revised scripts of hicplus
Use hmmscan and scanparse to create hmmer result
A repository for pytorch learning
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
my machine learning class
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
Global NeedlemanโWunsch algorithm using Perl
A comprehensive update to the PLINK association analysis toolset. Beta testing of the first new version (1.90), focused on speed and memory efficiency improvements, is finishing up. Development is now focused on building out support for multiallelic, phased, and dosage data in PLINK 2.0.
Utility functions for handling MIDI data in a nice/intuitive way.
some of my codes on bioinformatics with python
Run_dbcan V4, using genomes/metagenomes/proteomes of any assembled organisms (prokaryotes, fungi, plants, animals, viruses) to search for CAZymes.
Tools (written in C using htslib) for manipulating next-generation sequencing data