Have you ever wondered how life formed from the primordial soup and evolved to the different life forms which can be seen at present? How did different species evolved from their ancestors and what relationships do they have with each other? The answers to these questions can be answered through the study of phylogenetics.
Multiple Sequence Alignment using Clustal Omega and T-Coffee
Have you wondered how scientists identify regions of similarity in three or more biological sequences? As described in my previous article, Sequence alignment is a method of arranging sequences of DNA, RNA, or protein to identify regions of similarity. In my latest article on bioinformatics, I have discussed about pairwise sequence alignment. Make sure to check them out as well. Multiple sequence alignment is quite similar to pairwise sequence alignment, but it uses three or more sequences instead of only two sequences.
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Bioinformatics Workflow Management Systems: Introducing Unipro UGENE to model Bioinformatics Workflows
With the development of various methods to obtain data from living beings, there has been an explosion in biological data which is readily available to be used. However, such vast amounts of data will be of no use if there is no proper way to execute a series of steps to manipulate the data as we want, to output desired results. This is where Workflow Management Systems come in handy.
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Starting off in Bioinformatics — DNA Nucleotides and Strands
In my first article where I introduced bioinformatics, I have mentioned that we will be learning a lot about DNA, RNA and Protein sequences. Since I’m new to all these DNA/RNA jargon, I decided to learn about them first and then try out some coding problems. All the sequencing problems seem to have some words related to genetics. So first things first, let’s get started. 😊
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A Dummies’ Intro to Bioinformatics
The word Bioinformatics is making quite a turnaround in today’s world of Science. The word seems to be made up of two parts which are related to two different fields, biology and computer science. About one or two decades ago, people saw biology and computer science as two entirely different fields. One would learn about living beings and their functions whereas the other would learn about computers and underlying theories.