pypi.org - The Environment for Tree Exploration (ETE) is a Python programming toolkit that assists in the recontruction, manipulation, analysis and visualization of phylogenetic trees (although clustering trees or any other tree-like data structure are also...
The Department of Agronomy at National Taiwan University, Taipei, Taiwan,
invites applications for two full-time faculty positions beginning August
1, 2021 at the rank of Assistant Professor, Associate Professor or
Professor in Biometry and...
github.com - netGO is an R/Shiny package for network-integrated pathway enrichment analysis.netGO provides user-interactive visualization of enrichment analysis results and related networks.
Currently, netGO supports analysis for four species...
liulab-dfci.github.io - This is the course material for STAT115/215 BIO/BST282 at Harvard University.
Xiaole Shirley Liu (lead instructor)Joshua StarmerMartin HembergTing WangFeng Yue
Ming TangYang LiuJack KangScarlett GeJiazhen RongPhillip NicolMaartin De Vries
We...
https://breedbase.org/ - Breedbase is a comprehensive breeding management and analysis software. It can be used to design field layouts, collect phenotypic information using tablets, support the collection of genotyping samples in a field, store large amounts of high...
www.bioinf.jku.at - The kebabs package provides functionality for kernel based analysis of biological sequences via Support Vector Machine (SVM) based methods. Biological sequences include DNA, RNA, and amino acid (AA) sequences. Sequence kernels define...
Institut Pasteur de Tunis (IPT):The IPT is a research institution founded in 1883. IPT is under the supervision of the Ministry of Health and is part of the Université El Manar of Tunis (Ministry of high Education). The missions...
https://r-graphics.org/ - R is powerful tool for data analysis, visualization, and machine learning. And it costs $0 to use! Here are six FREE books you can use to learn R...
In an attempt to find a good Linux reference for bioinformatician and BOL readers, I was unsuccessful at finding a decent one on the Internet. So, we decided to make a cheat sheet for biological programmers.