The Brent Lab is developing and applying computational methods for mapping gene regulation networks, modeling them quantitatively, and engineering new behaviors into them.
http://etetoolkit.org - ETE v3, featuring numerous improvements in the underlying library of methods, and providing a novel set of standalone tools to perform common tasks in comparative genomics and phylogenetics.
The new features include
(i) building gene-based and...
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;...
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...
github.com - Long-read sequencing technologies have become increasingly popular in genome projects due to their strengths in resolving complex genomic regions. As a leading model organism with small genome size and great biotechnological importance, the budding...
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...
amp.pharm.mssm.edu - With BioJupies you can produce in seconds a customized, reusable, and interactive report from your own raw or processed RNA-seq data through a simple user interface
BioJupies now supports user accounts! Sign in from the top right corner of the page...
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.
-...
github.com - What is PhyloHerb: PhyloHerb is a wrapper program to process genome skimming data collected from plant materials. The outcomes include the plastid genome (plastome) assemblies, mitochondrial genome assemblies, nuclear ribosomal DNAs...