Are you stuck in a bioinformatics problem? Do you need to learn bioinformatics for a university project/class? To get bioinformatics advice: [email protected]

Learning Bioinformatics is not difficult at all, especially the BioCode Bioinformatics self-paced courses will help you get started even if you are not familiar with computers, programming or computer skills. BioCode courses take you from the beginner level to the advanced level.

Our best-selling and 5-star courses:

Course for advanced Bioinformaticians: https://bit.ly/38HwFnV
Fundamental Bioinformatician course: https://bit.ly/3DQRqvv
Biological programming in Python & R, BioConductor, BioPython: https://bit.ly/3zNzobh
R for Bioinformatics: https://bit.ly/3l20x47
Python for bioinformatics: https://bit.ly/3tjGn9s
Bioinformatics Scripting on Linux Terminal (Ubuntu): https://bit.ly/2X2NsiO
Bioinformatics tools, servers, pipelines: https://bit.ly/3E1mbya
Biological databases: https://bit.ly/3E1mbya
2D and 3D structure prediction: https://bit.ly/3th5oSL
Computational Medicine Design (In-Depth): https://bit.ly/3th5oSL
Computational Medicine Design: https://bit.ly/3n8j0yn
Computational vaccinology: https://bit.ly/38LPma6
Molecular docking: https://bit.ly/3th5oSL
RNA-Seq data analysis with Linux/R (BWA, BowTie2, HISAT2, StringTie2, TopHat2): https://bit.ly/2WYesQG
NGS data analysis: https://bit.ly/3yNkEb5
Biological data analysis: https://bit.ly/2X2NsiO
Computational biology (basic to advanced): https://bit.ly/3kWICeX
Visualization of biological data with ggplot2: https://bit.ly/3BMua04
Molecular dynamics and simulation: https://bit.ly/2YwNHmT
Internship course in functional bioinformatics (project-based): https://bit.ly/3yLNxVa
Single-cell RNA sequencing using Python: https://bit.ly/Single-Cell-RNA-Seq-Python
Single-cell RNA sequencing using R: https://bit.ly/Single-Cell-RNA-Seq-R
All-Access Membership: https://bit.ly/3VShbDF

Essential Bioinformatics: https://bit.ly/3h3UX00
Freelance MasterClass: https://bit.ly/3zNPeTa

You get access to:
Certificate
Video tutorials (step by step, practice-oriented)
MCQs, exercises, projects
PDF notes, transcripts and presentations
Netflix style resume

If you're interested in subscription courses: Get access to BioCode pre-recorded courses from just $17.99/month https://www.biocode.org.uk/courses

For courses in molecular biology, microbiology, cellular biology and biotechnology
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Cellular biology: https://bit.ly/3DLjOPT
Molecular biology: https://bit.ly/3h8Qgln
Genetics: https://bit.ly/3yOPAI2
Molecular genetics: https://bit.ly/3DV6CYS
Biochemistry: https://bit.ly/3tr4Ae8
Cancer: https://bit.ly/38GlBYa
Microbiology: https://bit.ly/3tjvJ2j
Molecular Pathology: https://bit.ly/3h58ILI
Virology: https://bit.ly/3BCR9dU
Mycology: https://bit.ly/3tn4aFp
Biotechnology: https://bit.ly/3l4tBrQ
Biotechnology Laboratory techniques: https://bit.ly/3h92w5r
Bioinformatics for biotechnologists: https://bit.ly/3h7V6iL
Cell and tissue culture: https://bit.ly/3DS8jG7
Microbial biotechnology: https://bit.ly/3n1QLBE
Recombinant DNA technology: https://bit.ly/3h287un
Health Biotechnology: https://bit.ly/2WTl2bg
Nanobiotechnology: https://bit.ly/2WTpw1c
Animal biotechnology: https://bit.ly/3l1Fsqe
Agriculture Biotechnology: https://bit.ly/3tj0cxv
Cell Signaling: https://bit.ly/38GuPnj
Industrial Biotechnology: https://bit.ly/3kXPjNX
Environmental biotechnology: https://bit.ly/3DTjOgA
Plant biotechnology: https://bit.ly/2Yr6cZL
Enzymology: https://bit.ly/2YxHw1S
Aquaculture technology: https://bit.ly/3th1Kbi
Molecular evolution: https://bit.ly/3zP2AyF
Biostatistics: https://bit.ly/3zP2AyF
Machine learning for bioinformatics: https://bit.ly/38Hvyoj
Immunology: https://bit.ly/3zSrWMa

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What benefits does this course have for you?
-No prior knowledge of bioinformatics or programming required.
-You will first go through the basics of bioinformatics before advanced topics are taught.
-You will gain a better understanding of data analysis in bioinformatics.
How are you going to learn?
BioCode courses are pre-recorded and online, which means you can learn at your own pace and watch the lectures as many times as you like, completing the course whenever you have time!

Is it an in-depth theoretical and practical course?
Yes, everything is covered in depth, the duration of each lecture topic varies from 20-50 minutes. That's why we've covered everything needed to perform end-to-end bioinformatics analysis.

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