Pinned Repositories
-
有一些必备且收费的工具，上传到此repo
AGAC-Track1
CRF大作业
BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
Bioinformatic_code
collect bioinformatic code
Bioview_PY
caokai001-BG_Tools_version
this repo for display the latest tools version
caokai001.github.io
https://caokai001.github.io
Course-learning-code
Django_demo
学习Djangio
kcaoplot
R package for 2018 GS CTCF
caokai001's Repositories
caokai001/Course-learning-code
caokai001/-
有一些必备且收费的工具，上传到此repo
caokai001/AGAC-Track1
CRF大作业
caokai001/BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
caokai001/Bioinformatic_code
collect bioinformatic code
caokai001/Bioview_PY
caokai001/caokai001-BG_Tools_version
this repo for display the latest tools version
caokai001/caokai001.github.io
https://caokai001.github.io
caokai001/Django_demo
学习Djangio
caokai001/kcaoplot
R package for 2018 GS CTCF
caokai001/electron-sky
electron 打包html文件或者封装谷歌浏览器内壳
caokai001/ggtree
:christmas_tree:Visualization and annotation of phylogenetic trees
caokai001/HiC-Pro
HiC-Pro: An optimized and flexible pipeline for Hi-C data processing
caokai001/In-depth-NGS-Data-Analysis-Course
Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.
caokai001/Nanguage.github.io
GitHub blog
caokai001/PicBed_For_typora
typora 图片上传·
caokai001/Play-with-Machine-Learning-Algorithms
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
caokai001/Practice_Coding
linux_R_python 学习代码
caokai001/see-non-printable-characters
caokai001/seqFlow
My pipeline and code collections for NGS data analysis, such as RNA-seq, ChIP-seq, MNase-seq, Hi-C, Trac-looping and etc, mainly keep the analysis within Python.
caokai001/talks
My Slides
caokai001/test
caokai001/test_talks_new
talks
caokai001/WASP
WASP: allele-specific pipeline for unbiased read mapping and molecular QTL discovery