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Bioinformatics experiments. Introduction by alexbiojs

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· @alexbiojs · (edited)
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Bioinformatics experiments. Introduction
<center>![ERK_1_1.png](https://cdn.steemitimages.com/DQmYC6aSeMrLt3y8jzmYsKuz7LVzHmAsCH6iHcDwSv4SCYc/ERK_1_1.png)</center>
<center>(The image above was created by me with the help of [PyMol](https://github.com/schrodinger/pymol-open-source) (open-source tool for molecules visualization/exploration). You can use the image if you want)</center>

The purpose of this series of posts is to demonstrate the power/beauty of bioinformatics (I’m just an amateur, though). 
There’re 2 terms, most biologists are familiar with, namely **“In vivo”** and **“In vitro”**.
**"In vitro"** is used to describe the studies of living/dead organisms done outside of their normal context/environment (like in test-tubes).
**"In vivo"** is used to describe the studies of living organisms done in their normal context/environment.
And with the advent of computers one more term was introduced -> “In silico”.
**“In silico”** is used to describe experiments done with biological data with the help of computer power. 
[2, 3, 4]
**Bioinformatics** is an interdisciplinary field of study, taking advantage of mathematics, statistics, computer science, computational linguistics and some others [1]. 

And the purpose is to help scientists to understand biological data.

All you need to do “In silico” experiments is your desire, internet-connection and computer.

With biochemistry/molecular biology moving forward, a huge amount of data was collected. This was one of the impulses for bioinformatics development. Not only we have nowadays a huge amount of information about protein/DNA/RNA sequences, but we also have a huge amount of literature. And it’s impossible to read all that and to investigate all that biochemical information manually.

![DUSPs_alignment_Clustal.png](https://cdn.steemitimages.com/DQmekpZWy4zwKogmrcwJo9exDkh4VvJHGoa7zaxMYQWikKr/DUSPs_alignment_Clustal.png)
<center>(The image above was created by me with the help of [Clustal Omega](https://www.ebi.ac.uk/Tools/msa/clustalo/). You can use the image if you want)</center>


Even though we see “informatics” in “bioinformatics”, you don’t need to be a programmer to do bioinformatics (but that might be useful). For all those biological data stored on serves a huge amount of web-tools was developed. One of the central resource for bioinformatics knowledge is [National Center for Biotechnology Information](https://www.ncbi.nlm.nih.gov/) (NCBI).

It’s hard to describe the whole range of opportunities bioinformatics gives to its users. 

With bioinformatics there’s no need to waste a lot of resources to carry out lots of those experiments done in test-tubes, which saves us a lot of reagents and, most importantly, bioinformatics saves us a lot of time. 

You can “feel” the power of bioinformatics especially when it comes to [Cyc](https://lucid.ai/).
>…the world’s largest smartest common sense knowledge base.
Cyc helped the Cleveland Clinic sift through five million patient records to find the perfect 82 drug trial candidates for a new cardiovascular therapy.
A search like this usually takes 10 weeks.
It took Cyc 10 minutes.
[source – "Meet Cyc" video on YouTube]

For more information about Cyc watch "Meet Cyc" video on YouTube (or read about Lucid.AI).

In this series of posts we are going to explore some biochemical/bioinformatics concepts and some tools for bioinformaticians.
 I’m not going to provide explanations/definitions for such common-used terms like proteins, enzymes, but I will try to provide them for some bioinformatics-specific terms and, possibly, some analogies from non-biochemical/bioinformatics-related life.


### References:

1. https://en.wikipedia.org/wiki/Bioinformatics

2. https://en.wikipedia.org/wiki/In_vitro

3. https://en.wikipedia.org/wiki/In_vivo

4. https://en.wikipedia.org/wiki/In_silico
👍  , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , and 523 others
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vote details (587)
@chappertron · (edited)
This is what we need here!

Please give us more of it!

Thanks & respect

Chapper

Edit: Oh, would you please be so kind to add some references?
👍  
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vote details (1)
@alexbiojs · (edited)
Hi.
thanks for support.
no problem.
I added them.
👍  
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@steemstem ·
re-alexbiojs-bioinformatics-experiments-introduction-20190514t113815040z
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@utopian-io ·
#### Hi @alexbiojs!

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