
Basic Bioinformatician Course in Python
A Course In Gem Bioinformatics Plan
ENGLISH WITH SUBTITLES IN SPANISH, ENGLISH, FRENCH, ARABIC

27 students
24.99$





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100% Positive reviews (8)
27 students
63 Lessons (18h 07m 54s)
Online and at your own pace
Available on your phone
Audio: English
English, Spanish, French, Arabic
Level: BASIC

Basic Bioinformatician Course In Python Allows You To Develop The Basic Bioinformatician & Programming Skills in Python
Being a Bioinformatician means you’ve to learn how to retrieve and analyze biological data in the most efficient way, to learn how to align & analyze biological sequences to predict the evolutionary histories between them, to find out the conserved patterns, to learn how to predict coding regions or genes from a raw nucleotide sequence, and much more.
To efficiently deal with huge genomic and proteomic data often requires writing short scripts or patches of code to computationally analyze the biological datasets, rather than comparing and analyzing such huge datasets manually. Hence, the major part of Bioinformatics involves computationally analyzing biological datasets.
The simple syntax and high-level data structures of Python, make it easier for nonprofessional programmers such as computational biologists to develop programming skills, enabling them to interact with data programmatically and eventually develop code on their own.
In this course you’ll learn the very basics of most commonly utilized biological databases, how to find conserved and variable regions within sequence alignments & analysis and do evolutionary & phylogenetic analysis. You’ll also be able to learn various concepts related to how to write your first script, Python data structures such as lists, strings, dictionaries and more. Along with, how to read/write Bioinformatics files, work with loops and how to control the flow of your program and script.
Joining and learning from the Basic Bioinformatician Course in Python can enhance your biological career by learning through various useful & informative pre-recorded lectures on Bioinformatics tools, databases, servers and biological programming languages.
Each Plan Includes

Step-by-step pre-recorded lectures

Subtitles (English, Spanish, French, Arabic)

Learn any time, any where!

Transcription

Notes

Coding scripts

BioPresentations

Exercises

Automated Evaluations (MCQs)

100% Authentic Certificate
24.99$

100% Positive reviews (8)




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23 students
63 Lessons (18h 07m 54s)
Online and at your own pace
Available from the phone
Audio: English
Spanish, English, Arabic, French
Level: BASIC
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Course Content
C1
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C4
C5
C6
C7
C8
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C10
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C12
C13
Bioinformatics Databases & Analysis
Bioinformatics File Formats
Protein Databases & Analysis
Sequence Alignment & Analysis
Phylogenetic Analysis
Secondary Structure Prediction
Genomic Tools
Introduction & Installation of Python
Iterable Objects
Control Flow Statements
File Handling
Functions & Modules
Error Handling
Target Audience
The target audience for the Basic Bioinformatician Course in Python are biologists, beginner or intermediate Bioinformaticians or data analysts with no or little experience in applications of computational bioinformatics and analysis.
However, a superficial understanding of molecular biology and logic development for coding is expected from you before you join the course.
Bioinformatics is quite easy to get started in, even if you lack a proper understanding of the underlying concepts of Bioinformatics databases, servers, tools and the algorithms working behind them.

Contents
Categories
Lecture Count
Bioinformatics Databases & Analysis
18 Lectures
Bioinformatics File Formats
6 Lectures
Protein Databases & Analysis
10 Lectures
Sequence Alignment & Analysis
5 Lectures
Phylogenetic Analysis
1 Lecture
Secondary Structure Prediction
2 Lectures
Genomic Tools
1 Lecture
Introduction & Installation of Python
4 Lectures
Iterable Objects
5 Lectures
Control Flow Statements
3 Lectures
File Handling
5 Lectures
Functions & Modules
2 Lectures
Error Handling
1 Lecture
Total Lectures
63 Lectures
Total Duration
18h 07m 54s
This is what BioCode Courses are Like

Learn at Your Own Pace
Enjoy learning from home without a set schedule. You set your own timetable.

Always Accessible
Each instructor teaches only what she/he does best, conveying true passion and excellence in every lesson.

Front Row Seats
Videos of the highest quality ensure that you don't miss a single detail. With unlimited access, you can watch them over and over.

Additional Resources
Downloadable transcription files, BioPresentations, and code scripts for each lecture to ensure that you don’t miss a single detail at any step. With automated evaluations & exercise questions, you can track your progress.

Learn From the Best
Learn valuable methods and techniques explained by top experts in the creative sector.

Certificate
Demonstrate your course attendance with a certificate signed by the teacher.
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Share Knowledge
Ask questions, request feedback, offer solutions. Share learning with other students in the community.

Professionally Developed Courses
We selected top creatives and a team of experts to develop the courses. The result? You'll feel like you're working side by side with leading professionals.
The topics covered in Basic Bioinformatician Course in Python are also incorporated in the following courses:

Price: 249.99$

Get started from the very basics to advanced level Bioinformatics analysis and biological programming in Python, BioPython & R. This plan also included all the topics from Basic, Introductory and Intermediate Bioinformatician Courses, in this course you’ll also develop expertise in molecular dynamics simulations to predict the most suitable in vivo conformations of biological macromolecules for drug designing & development and find the protein-protein interaction networks. You’ll also be learning various concepts related to how to write programs for MicroArray Gene Expression Analysis, and complete end-to-end Linux (BASH) for Bioinformatics.
52 Weeks
00 hours 59 min per week
Included in Advanced Bioinformatician Course
Content Duration:
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Price: 179.99$

Get started from the very basics to advanced level Bioinformatics analysis, learn most efficient and commonly utilized Bioinformatics pipelines, software, servers and more. This plan also included all the topics from Basic, Introductory and Intermediate Bioinformatics Courses, in this course you’ll also develop expertise in molecular dynamics simulations to predict the most suitable in vivo conformations of biological macromolecules for drug designing & development and find the protein-protein interaction networks. You’ll become an end-to-end expert in Bioinformatics once you’ve completed this course.
52 Weeks
01 hours 55 min per week
Included in Advanced Bioinformatician Course
Content Duration:
47 hours 35 min

Price: 199.99$

Get started from the very basics of biological programming in Python, BioPython & R to an advanced level understanding of Bioinformatics Scripting, even if you lack prior knowledge. Understand various concepts related to how to write programs for MicroArray Gene Expression Analysis, ggplot2 biological data visualization & sequence retrieval, alignment, BLAST database searching & phylogenetic analysis in BioPython. You’ll also be learning complete end-to-end Linux (BASH) for Bioinformatics.
52 Weeks
00 hours 28 min per week
Included in Advanced Bioinformatician Course
Content Duration:
23 hours 30 min
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Functional Bioinformatics Internship
The 60-Days Project Based Functional Bioinformatics Internship is specifically catered and designed for Beginners and intermediates in Bioinformatics. This internship covers a complete basics to advance level practical and real-life course and research work. Learn how to develop in-demand bioinformatics skills in Linux scripting, Bioinformatics databases analysis, Bioinformatics scripting/software development, & Biological data analyst.

Biological Data Visualization with ggplot2 in R
Get hands-on experience on the basic to advanced level analysis & visualization of biological datasets using the ggplot2 packages in R language. Also learn how to write scripts, preprocess, explore, visualize and analyze biological datasets for more meaningful biological research.
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