Functional Bioinformatics Internship Course
About This Course
Looking to Develop In-Demand Bioinformatics Skills?
Functional Bioinformatics Internship covers a complete basics to advance level practical and real-life course and research work.
As a renowned Bioinformatics educational institute, BioCode video courses and lectures cater to the wide demand of lectures for topics involved in Bioinformatics such as:
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Introductory
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Intermediate
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Advanced
Why Should You Learn Bioinformatics?
Fundamentally, Bioinformatics and Computational Biology is dependent upon biological databases that allow scientists to:
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Store
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Archive
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Download biological data such as sequence data, microarray, high-throughput datasets and more.
Analyzing biological datasets and high-throughput genomics datasets requires skillsets in
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Linux Scripting
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Biological Databases
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Bioinformatics Pipelines, Tools, Software and Servers
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Biological Data Analysis
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Most importantly in Bioinformatics Programming and Scripting in Python & R.
An Opportunity To Learn Practical And Real-life Bioinformatics Research By Choosing Your Desired Stream
- Gene Expression & Functional Bioinformatics Analysis of Genetic Diseases (Microarray)
- 3D Structure Prediction, Molecular Docking and Computational Drug Designing for a Pathogenic Protein
- Creating Bioinformatics Pipelines using BASH, Python and R scripting
- Basics to Advanced Levels of Learning in Bioinformatics tools, Databases, Python/R/Linux for Bioinformatics
- Complete Computational Analysis of Proteins, Genes and Genomes
Don’t Know Anything About Bioinformatics? Don’t Worry, We Have Got You Covered! You’ll be learning from the absolutely basics of Bioinformatics!
The Project Based Functional Bioinformatics Internship is specifically catered and designed for Beginners and intermediates in Bioinformatics.
You’ll be learning through a fast-track schedule and implementing the gained knowledge on bioinformatics project that will be publishable in high-impact factor journal.
Entire internship will be conducted online, through Internship Dashboard that will allow you to track your progress, next tasks, completed tasks and more. Each day, you’ll be completing a single task and submit the task for evaluation.
- This is an internship course, a total of 60 days worth of video lectures that you can complete anytime, we’ll give you 1 year access to the content.
- This a step-by-step series of of pre-recorded video courses, that means you can join anytime, anywhere and any number of times and stream and download the video lectures that are scheduled for you for a particular day, you can watch videos for the future days or the past days as well, since your internship dashboard will be a calendar based dashboard.
- On average, you need to spend at least 1 hour per day.
All the modules are carefully crafted so you learn from the basics of the Bioinformatics to the advanced level. Efficient demonstrations of the databases, tools, methodologies, algorithms and software suites that are utilized within Industrial Level Bioinformatics Projects will help you learn how to start your own projects, do RNA-Seq/Microarray, functional bioinformatics, pathway and gene ontology, protein-protein interaction analysis and much more.
Entire internship is pre-recorded so you don’t have to worry about the timing. Each module has segments that you watch, learn and practice according to your mood, pace & time. There will be two Live Sessions and your project will be guided automatically through each process, however you’ll always have the option to contact us 24/7 for any help.
I like that the videos are recorded and that I can go at my own pace, the videos are very clear and the transcripts have been helpful – since I am able to refer back to the topic for coding help, I am a beginner and I appreciate the straightforward explanations.
Taniya cobin, usa
Application deadline: 7th, 17th, 27th of each month. (3 batches, join any)
Payment deadline: 10th, 20th, 30th of each month. (3 batches, join any)
Learning Objectives
Requirements
- A stable internet connection
- Basic understanding of molecule biology
- No prior knowledge of coding required
Target Audience
- Beginner's in Bioinformatics
- Students of Life Sciences fields
- Researcher trying to learn how to develop a drug
- People who need to learn Python/R/Linux for Bioinformatics
- People who have to create publication-ready figures with ggplot2 in R
- People who prefer project-based courses
- People looking to do RNA-Seq analysis for differential gene expression
