Jun-Lizst
Molecular engineer interested in cell biology and neurobiology questions;
Institute of Organic Chemistry and Biochemistry (IOCB)Prague, Czech republic
Pinned Repositories
3D-printing
Designs for 3D printed parts that were developed in the Zhuang Lab.
3Dscript
BMAv1-Brain-Metabolome-Atlas
HarvardXCourse
Introduction to Linear Models and Matrix Algebra Course by Rafael Irizarry and Michael Love. http://genomicsclass.github.io/book/
leo1234j_website
personal blog of Junliszt
leo1234jv4
MAGeCKFlute
Integrative analysis pipeline for pooled CRISPR functional genetic screens
ShinyCell
Shiny Interactive Web Apps for Single-Cell Data
sleepr
Sleep analysis with R.
TBtools
GUI/CommandLine Tool Box for biologistists to utilize NGS data.
Jun-Lizst's Repositories
Jun-Lizst/BacillusSporeCoat
Data, key results, sample PERL and R codes and for Bacillus Spore Coat project
Jun-Lizst/brainmapr
R package to infer spatial location of neuronal subpopulations within the developing mouse brain by integrating single-cell RNA-seq data with in situ RNA patterns from the Allen Developing Mouse Brain Atlas
Jun-Lizst/MSstats_material
R package MSstats material
Jun-Lizst/tadbit
TADbit is a complete Python library to deal with all steps to analyze, model and explore 3C-based data. With TADbit the user can map FASTQ files to obtain raw interaction binned matrices (Hi-C like matrices), normalize and correct interaction matrices, identify and compare the so-called Topologically Associating Domains (TADs), build 3D models from the interaction matrices, and finally, extract structural properties from the models. TADbit is complemented by TADkit for visualizing 3D models
Jun-Lizst/weixin2py
weixin2py-腾讯微信公众平台自动消息处理程序+SDK(python+django)
Jun-Lizst/AddictionCourse2015
Code and data (or links to data) for Elissa Chesler's Addiction Course in August 2015.
Jun-Lizst/AMPK_motif_analyzer
A position weight matrix based algorithm to score query phosphorylation motifs on similarity to the in vivo AMPK phosphorylation motifs.
Jun-Lizst/call_seq
call_seq is a tool that let you trace code easily. It record function call sequence. So you can learn how the process run.
Jun-Lizst/CUBIC_nprot
Code for the image processing and analysis described our Nature Protocols paper.
Jun-Lizst/DataPro
Package of Igor Pro scripts for doing data acquisition using Instrutech hardware.
Jun-Lizst/eegpy
Library for the analysis of EEG / MEG data
Jun-Lizst/fastqc
csf fork of fastqc for usage on selected reads of unaligned bam file
Jun-Lizst/figshare
Command line client for figshare
Jun-Lizst/GoogleAnalyticsAdvanced
Jun-Lizst/mageck
Experimental source code for MAGeCK (Model-based Analysis of Genome-wide CRISPR-Cas9 Knockout)
Jun-Lizst/NeuroFIT
Cell / Neuron Fluorescent Imaging Toolbox for Matlab
Jun-Lizst/rDrop
Programmatic interface to Dropbox
Jun-Lizst/ROI_detect
Automatic ROI Detection
Jun-Lizst/Rtoolbox
Modeling precision treatment of breast cancer
Jun-Lizst/SabalabSoftware_Nov2009
Jun-Lizst/SEAT
Simple EEG Analysis Tool -- Python EEG Gui using MNE Python for core functionality
Jun-Lizst/temporal-brain-expression
Scripts to analyze spatio temporal brain expression of BrainSpan Developmental Transcriptome data
Jun-Lizst/weixin_sogou
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