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...
To remove all line ends (\n) from a Unix text file:
sed ':a;N;$!ba;s/\n//g' filename.txt > newfilename_oneline.txt
To get average for a column of numbers (here the second column $2):
awk '{ sum += $2; n++ } END { if (n > 0) print sum / n;...
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...
The interaction between proteins and other molecules is fundamental to all biological functions. In this section we include tools that can assist in prediction of interaction sites on protein surface and tools for predicting the structure of the...
Here is a small tutorial on how to make best use of multiple processors for bioinformatics analysis. One best way is using perl threads and forks. Knowing how these threads and forks work is very important before implementing them. Getting to know...
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...
Key Responsibilities
- Process and analyse metabolomic, transcriptional, genomics, proteomics
and any other kind of biological data.
- Interpret the data in the context of relevant biological literature to generate
actionable insights.
-...
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...
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...