About This Course

Theoretical & Practical
Certificate
Subtitles in English
Pre-recorded Lectures
Watch Multiple Times
Useful Resources
From Beginners Level
Command-line Tricks

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:

  • Introductory

  • Intermediate

  • Advanced

Why Should You Learn Bioinformatics?

Fundamentally, Bioinformatics and Computational Biology is dependent upon biological databases that allow scientists to:

  • Store

  • Archive

  • Download biological data such as sequence data, microarray, high-throughput datasets and more.

Analyzing biological datasets and high-throughput genomics datasets requires skillsets in

  • Linux Scripting

  • Biological Databases 

  • Bioinformatics Pipelines, Tools, Software and Servers

  • Biological Data Analysis

  • 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

In this Project Based Functional Bioinformatics Internship Course, you’ll be learning and implementing your newly gained skillset on bioinformatics projects to elucidate useful biological knowledge from disease datasets which include:
  1. Gene Expression & Functional Bioinformatics Analysis of Genetic Diseases (Microarray)
  2. 3D Structure Prediction, Molecular Docking and Computational Drug Designing for a Pathogenic Protein
  3. Creating Bioinformatics Pipelines using BASH, Python and R scripting
  4. Basics to Advanced Levels of Learning in Bioinformatics tools, Databases, Python/R/Linux for Bioinformatics
  5. 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.

Adriana Narváez González.png

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

Bioinformatics Databases
Understanding Bioinformatics
Sequence and Biological Data Analysis
Predictive Bioinformatics
Bioinformatics Scripting in Linux, Python and R
Functional Bioinformatics Analysis & High-Throughput Genomics Data Analysis

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

Curriculum

298 Lessons

Segment 1: Bioinformatics Databases

Introduction to NCBI18:02
Excercise
Sequence Retrieval16:17
Exercise
Sequence Analysis17:59
Exercise
PubMed Central & ENTREZ11:07
Exercise
FASTA vs GenBank18:26
Exercise
Gene30:21
Exercise
GenBank6:50
Exercise
Assembly & NCBI Genome36:14
Exercise
Genome Reference Consortium (GRC)7:48
Exercise
BioProject6:40
Exercise
BioSystems4:16
Exercise
BioSample2:56
Exercise
Sequence Read Archive (SRA)7:15
Exercise
Introduction to UCSC Genome Browser & SARS-CoV-2 Viral Genome13:40
Exercise
Retrieve an Entire Genome & Retrieval of SARS-CoV-2 Viral Genome9:41
Exercise
Table Browser & SARS-CoV-2 Viral Genome12:16
Exercise
Retrieval of Genomic Data & Annotation of SARS-CoV-2 Viral Genome5:30
Exercise
Visualization of Genomic Data on the Genome Browser & SARS-CoV-2 Genome10:51
Exercise
Introduction to ENSEMBL7:50
Retrieval of a Gene-Protein-Chromosomal Region18:02
Exercise
Gene Analysis & Annotation34:40
Exercise
Genome Assembly Retrieval and Analysis10:24
Exercise
Comparative Genomics Analysis5:35
Exercise
Database of Short Genetic Variations (dbSNP)12:16
Exercise
Database of Genomic Structural Variation (dbVar)6:25
Exercise
Variation24:37
Exercise
NCBI BLAST Database Searching25:37
Exercise
BLAST/BLAT15:08
HomoloGene (Gene and Protein Families)6:11
Exercise
RefSeq Database11:16
Exercise
Taxonomy9:57
Exercise
Introduction to UniProt9:56
Exercise
UniProtKB & Protein Analysis39:30
Exercise
Introduction to Protein Data Bank (PDB)6:45
Introduction to Molecular Modeling Database8:07
Exercise
UniProteome & Retreieval of an Entire Proteome13:05
Exercise
UniRef & Retrieve Protein Clusters11:36
Exercise
UniParc & Find the Non-Redundant Entries4:59
Introduction to InterPro4:10
Protein & Protein Domain Analysis9:29
Exercise
InterPro – Protein Family Classification and Analysis14:35
Exercise
Peptide Search: Searching for a Particular Peptide on UniProt3:15
Exercise
Uniprot Align Pairwise And Multiple Sequence Alignment And Annotation3:48
Exercise
Accurately Searching for a Protein Structure on PDB & Protein Analysis13:56
Exercise
Browsing PDB According to Annotation6:52
Exercise
Digging Out Categorized & Specific Protein Structures from PDB Archives6:23
Exercise
3D Structure Visualization on PDB10:49
Exercise
Biological Annotation and Protein Features View & Analysis8:18
Exercise
Genomic Discovery of Protein Structure Through Gene4:07
Exercise
Mapping Genomic Position to Protein Sequence and 3D Structure4:35
Exercise
Alignment Between Two PDB Sequences & Structures6:08
Exercise
Ligands5:23
Exercise
Protein Symmetry: Understanding the Protein Validation2:34
Exercise
Introduction to Phytozome9:39
Exercise
Interpret Plant Genome Records9:07
Exercise
Keyword or BLAST Search in a Plant Genome15:58
Exercise
Visualize a Plant Genome using JBrowse17:38
Exercise
Download an Entire Plant Genome & Proteome26:41
Exercise
Introduction to Gene Expression Omnibus Database9:16
Gene Expression Omnibus (GEO) Platforms5:42
Exercise
Gene Expression Omnibus (GEO) Samples4:16
Exercise
Gene Expression Omnibus (GEO) Datasets4:45
Exercise
Gene Expression Omnibus (GEO) Series4:01
Exercise
Regulation4:19
Exercise
UniProt BLAST & Protein Database Searching12:33
Exercise
ID Mapping & Making Analysis Easier7:17
Exercise
PROSITE13:46
Exercise
Pfam: Understanding Protein Families and their Members15:56
Exercise
STRING: Protein-Protein Network Database and Analyzing PPI Between Proteins13:17
Exercise

Segment 2: Understanding Bioinformatics

Segment 3: Sequence and Biological Data Analysis

Segment 4: Predictive Bioinformatics

Segment 5: Bioinformatics Scripting in Linux, Python and R

Functional Bioinformatics Analysis & High-Throughput Genomics Data Analysis

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$90.99$129.99

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Level
All Levels
Lectures
298 lectures
Language
English

Material Includes

  • Step-by-step lectures
  • Transcription
  • Notes
  • BioPresentations
  • Exercises
  • Automated Evaluations (MCQs)
  • 100% Authentic Certificate

Enrolment validity: 365 days

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