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Overview on bioinformatics

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Hello, everyone. My name is Khanh Le. I’m an assistant professor from Artificial  Intelligence in Mdeicine Program   in Taipei Medical University, Taiwan. And today, it is my great pleasure to be  here and to provide the course related   to artificial intelligence in bioinformatics. And for this course, I try to have  some fundamentals about artificial   intelligence and bioinformatics  which are two hot topics nowadays. And I will try to show you  about the overlap between   artificial intelligence and bioinformatics. After this course, I hope that  you will learn about how you can   implement some AI models and apply into  different kinds of bioinformatics data.
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And, I don’t have any bio-knowledge on  programming language or also in coding.  So I try to show you the  simplest as I can about apply AI. And I hope that you can enjoy this course. And for the first week of this course, I try to have an overview of bioinformatics,   meaning that for the first one, I try to explain about some   definitions of bioinformatics, some branches of  bioinformatics, and also about some of the data.  And here is my outline for the  first week. So for the first one,   I try to provide an overview of bioinformatics. And the second one is about some  published resources for bioinformatics   that you can get the data.
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And move to the next session,  I try to explain what are some  kinds of bioinformatics data,   meaning for the formtype of the data. And for the last one, I try to explain,  I try to show you how you can collect  data from bioinformatics resources. And for the overview on bioinformatics, as you… This figure can show you that bioinformatics is an   interdisciplinary field that develops methods and  software tools for understanding biological data. And you can think bioinformatics is the field  that can match some different fields like computer   science, engineering, mathematics, statistics,  biology, biochemistry, and even chemistry.
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And bioinformatics has been used for in  silico-analyses of biological queries   using mathematical and statistical techniques.  So bioinformatics, it needs a lot  of knowledge from different fields. And how many branches are  bioinformatics? Actually,   there are a lot of branches of bioinformatics.  And here, in this slide, I try to show some of  the most common branches for bioinformatics. The first one, as you see in this figure,   the circles. It is the sequence  analysis. Sequence analysis is   the bioinformatics learning that you can analyze  some of the sequence information from DNA   sequencing, like the Genome annotation, and also Pan genomics is one study of sequence analysis.
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The second branch of bioinformatics, we can  call it as the gene and protein expression.  So, for this one, we do with some different  expression levels for genes and proteins and   all other gene expression levels which  mean the state of transcription and also   translation from DNA to the proteins. And for this one, many people try to   have some related study to like analysis of  gene or protein expression or regulation. And move to the structure bioinformatics, in  this session, in this branch of bioinformatics,   many people try to apply some different techniques  to understand the structure of some proteins, like   using molecular docking, virtual screening and try  to apply some different technique to understand   their structures.
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And for the last one, the  last branch, we call network and system biology. And here is many studies try to  focus on biological networks and also   protein-protein interactions. From this  branch, so there are some common branches   of bioinformatics that I try to… I  try to introduce for the session today.

Dr. Khanh Le will give you an outline for this course. First, he will give a short introduction to bioinformatics. Bioinformatics is an interdisciplinary field. It needs a lot of knowledge from different fields such as computer science, statistic, biochemistry, engineering, and etc.

Then he will introduce branches of bioinformatics. There are four branches, sequence analysis, gene and protein expression, structural bioinformatics, and network and system biology.

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Artificial Intelligence in Bioinformatics

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