Hello all,
I am putting together an ebook to describe a number of useful bioinformatics tools. The book is under development, and V0.1 is freely available at the following link.
[In fact, if you grab V0.1, all updates will also be freely available to you based on leanpub rules.]
Here is what I am trying to achieve. I work with a number of biologists and they often complain about - (i) not knowing what bioinformatics tools to use for their large data files, (ii) the tools they have need more RAM etc. than what they have and (iii) not knowing how to mix/match multiple tools to do something efficiently and (iv) interpreting the results coming from various programs. For example, does Trinity giving 350,000 assembled transcripts mean the organism has 350K genes?
So, I am building together a minimal set of efficient programs to help them so that I do not need to go over the same explanation many times. The project is moving slowly, but I am making progress.
Here are some of the relevant posts -
All thoughts and suggestions are welcome.
M.
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Metagenomics has improved the way researchers study microorganisms across diverse environments. Historically, studying microorganisms relied on culturing them in the lab, a method that limits the investigation of many species since most are unculturable1. Metagenomics overcomes these issues by allowing the study of microorganisms regardless of their ability to be cultured or the environments they inhabit. Over time, the field has evolved, especially with the advent...09-23-2024, 06:35 AM -
During the COVID-19 pandemic, scientists observed that while some individuals experienced severe illness when infected with SARS-CoV-2, others were barely affected. These disparities left researchers and clinicians wondering what causes the wide variations in response to viral infections and what role genetics plays.
Jean-Laurent Casanova, M.D., Ph.D., Professor at Rockefeller University, is a leading expert in this crossover between genetics and infectious...09-09-2024, 10:59 AM