Bioinformatics Mastery: Your journey from beginner to Expert

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Abdul Rehman Ikram

15:36:32

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1 - Introduction to Bioinformatics

1 - Course Introduction.mp4

02:05

2 - Introduction of Bioinformatics field.mp4

03:12

3 - History of Bioinformatics.mp4

03:24

4 - Components of bioinformatics.mp4

03:31

5 - Working in Bioinformatics.mp4

02:51

6 - Career Outlook for bioinformaticians.mp4

01:44

7 - Careers for bioinformaticians.mp4

03:28

8 - Applications of Bioinformatics.mp4

01:51

9 - Applications of Bioinformatics Pt2.mp4

01:52

2 - Bioinformatics Databases and File Formats

10 - Introduction of Biological Databases.mp4

01:44

11 - Types of Biological Databases.mp4

00:41

12 - Difference Between Primary and Secondary Databases.mp4

02:19

13 - Primary Databases.mp4

00:52

14 - Explaining Primary Databases.mp4

02:58

15 - Explaining Primary Databases pt2.mp4

02:13

16 - Explaining Primary Databases Last.mp4

02:17

17 - Introduction of Secondary Databases.mp4

00:47

18 - Explaining Secondary Databases.mp4

02:51

19 - Explaining Secondary Databases pt2.mp4

04:01

20 - Explaining Secondary Databases Pt3.mp4

02:05

21 - Explaining Secondary Databases Pt4.mp4

03:40

22 - Introduction of Literature Databases.mp4

00:46

23 - Explaining Literature Databases.mp4

02:28

24 - Introduction of File Formats.mp4

01:10

25 - Explaining different File Formats.mp4

04:48

26 - Summary of File Formats.mp4

00:37

3 - Plant Databases

27 - Plant database introduction.mp4

06:57

28 - Types Of Databases.mp4

02:34

29 - Brassica Database.mp4

06:09

30 - Phytozome.mp4

03:19

31 - Ensembl Plants.mp4

02:56

32 - Gsad Database.mp4

05:11

33 - NCBI Database.mp4

04:29

34 - Pgdjb Database.mp4

01:35

35 - Ptgbase Database.mp4

02:08

36 - Rdna Database.mp4

01:58

37 - Gdb Browser.mp4

02:21

4 - Sequence Alignment in Bioinformatics

38 - Introduction of Sequence Alignment.mp4

03:05

39 - History of Sequence Alignment.mp4

01:21

40 - Alignment Methods.mp4

01:54

41 - Interpretation of Sequence Alignment.mp4

01:20

42 - Representation and Storing of Sequences.mp4

02:55

43 - Significance and Uses of Sequence Alignment.mp4

03:53

44 - Software Used for Sequence Alignment.mp4

02:01

45 - Pairwise Sequence Alignment.mp4

09:53

46 - Tools for Pairwise Sequence Alignment.mp4

02:09

47 - Multiple Sequence Alignment.mp4

05:58

48 - Tools for Multiple Sequence Alignment.mp4

02:00

49 - Clustal tool for alignment.mp4

04:46

5 - Proteomics Using Bioinformatics

50 - Section Introduction.mp4

14:51

51 - Explaining Homology Modeling.mp4

11:09

52 - GUI based Modeling of Proteins.mp4

15:33

53 - Command Line based Protein Modeling.mp4

24:41

53 - protein.zip

54 - DeNovo and Machine Learning Methods.mp4

20:11

55 - Protein Structure Prediction.mp4

05:29

56 - Protein Visualization Analysis.mp4

07:46

57 - Phylogenetics Analysis.mp4

14:05

58 - Motifs and Domains analysis.mp4

12:05

59 - Protein Physical Parameters and Location Analysis.mp4

05:27

60 - ProteinProtein Interaction and Enrichment Analysis.mp4

10:13

61 - Proteins Pathway Analysis.mp4

06:08

6 - Linux in Bioinformatics Command Line Bioinformatics

62 - Introduction and Why CLI in Bioinformatics.mp4

06:02

63 - CLI and GUI Explanation.mp4

07:07

64 - if we already have Graphical user interface system why we should use CLI.mp4

03:24

65 - Short Practical with Programming Language.mp4

03:15

66 - Why Would You Use CLI over GUI.mp4

03:44

67 - Foundation behind CLI Shell explanation.mp4

07:41

68 - Drawbacks of CLI and GUI.mp4

02:53

69 - Linux Introduction and Usage Over years.mp4

05:29

70 - Linux Distros.mp4

05:03

71 - Why Ubuntu Operating System.mp4

03:20

72 - WSL Explanation.mp4

02:05

73 - Linux Vs Unix.mp4

04:21

74 - Practical Making A Subsystem For Linux In Windows OS.mp4

05:07

75 - Linux File Handling Commands.mp4

11:06

76 - Accessing And Creating Files In Windows Os.mp4

03:28

77 - Basic Process Management Commands for Linux OS.mp4

07:07

78 - Eutilities on the Linux Command Line.mp4

03:44

79 - Installing NCBI through CLi.mp4

01:20

80 - Entrez Direct Functions.mp4

02:17

81 - Mrna And Protein Seq Retrieval.mp4

03:09

82 - Batch Retrieval of Protein Using Taxon Id.mp4

02:10

83 - Retrieving CDS From Reference Genome.mp4

01:17

84 - Explaining Different Commands.mp4

01:13

85 - Commands.html

7 - NGS Data Analysis using Galaxy and Linux

86 - Introduction of Course Section.mp4

02:56

87 - Nextgeneration sequencing.mp4

03:24

88 - Generations of Sequencing.mp4

06:12

89 - NGS Workflow.mp4

04:07

90 - SRA Database introduction.mp4

03:22

91 - SRA File.mp4

02:54

92 - Galaxy Server Intro to Goals.mp4

07:04

93 - Galaxy Server And Objects.mp4

04:48

94 - Getting Onto Galaxy.mp4

02:14

95 - Tools For NGS Data Analysis.mp4

03:36

96 - Getting SRA Runs from Databases And platform.mp4

03:25

97 - Ncbi Genome to Galaxy.mp4

03:32

98 - Getting Sra Runs To Galaxy.mp4

05:12

99 - Fastqc Tool To Dataset Generated Dataset.mp4

05:22

100 - Trimmomatic Tool On Dataset.mp4

06:09

101 - Alignmentgenome Mapping.mp4

04:58

102 - Abundance Estimation Tool On Dataset.mp4

05:30

103 - From Values To Visuals Heatmap.mp4

07:41

104 - Understanding NGS For Linux.mp4

04:55

105 - Getting the SRA Reads.mp4

08:18

105 - file.zip

106 - Bioinformatics Pipeline.mp4

07:55

107 - Checking the Quality of Data.mp4

07:39

108 - Quality Trimming of data.mp4

04:34

109 - Aligners and Aligning Reads to genome.mp4

12:48

110 - SAM and Bam File Indexing and Sorting.mp4

07:15

111 - Feature Extraction.mp4

08:44

112 - Pipeline Code.html

8 - Variant Calling Analysis Using Linux

113 - Introduction of Course Section.mp4

03:51

114 - Variants and Types.mp4

07:20

115 - Understanding the Metadata and Softwares.mp4

05:22

116 - Getting Data From SRA Using SRA Toolkit.mp4

07:18

117 - Quality Control and Trimming.mp4

09:46

118 - Sam and Bcf Tools and Fixing NS and Calling Variants.mp4

07:49

119 - Alignment to Reference Genome.mp4

10:15

120 - Separation of SNPs and Indels Variants.mp4

05:17

121 - Visualizing Variants Using IGV and UCSC Browser.mp4

03:37

122 - Pipeline Code.html

9 - Python for Bioinformatics

123 - Introduction to Bioinformatics and Why Python.mp4

09:18

124 - BioPython Introduction.mp4

09:58

125 - GitHub Repository for Python.html

126 - Setting up Coding Environment.mp4

14:02

127 - Explaining the libraries for the course.mp4

15:25

128 - Advance File Formats of Bioinformatics with BioPython.mp4

19:23

129 - Sequence Analysis Using Biopython.mp4

16:17

130 - Database RetrievalAccessing Using Biopython.mp4

11:33

131 - Working With Genomes Using Biopython.mp4

19:08

132 - Phylogenetic Tree Construction using Biopython.mp4

14:09

133 - Proteomics Analysis Using Biopython.mp4

19:56

134 - Machine Learning in Bioinformatics.mp4

11:45

10 - R for Bioinformatics

135 - Introduction to Bioinformatics and R Exploring the Intersection of Biology.mp4

08:02

136 - Getting Started with R Installation and Variables Understanding.mp4

10:15

137 - Working with R Packages Installing Loading and Exploring Bioinformatics.mp4

09:34

138 - Differential Gene Expression Analysis with Deseq2 Preparing Data.mp4

05:27

139 - Deseq2 Code Understanding.mp4

17:43

140 - Converting Ensembl Gene IDs to Gene Symbols Using R Techniques and Packages.mp4

11:30

141 - Visualizing Gene Expression Data Creating Stunning Plots with ggplot2.mp4

10:14

142 - Introduction to SingleCell RNA Sequencing scRNAseq Data Analysis.mp4

07:15

143 - Exploring scRNAseq Code Cell Trajectories and Gene Expression Dynamics.mp4

21:55

144 - GitHub Source Code for R.html

11 - Microarray Data Analysis Using R

145 - Introduction of Microarray.mp4

18:49

146 - Microarray Databases.mp4

12:20

147 - Microarray Analysis Using GEO2R.mp4

18:33

148 - Microarray Analysis on R.mp4

33:45

149 - Source Code for Microarray Section.html

Description

Bioinformatics Beginners to advance course to learn in 10 hours to understand the simple and complex topics of bioinfo

What You'll Learn?

Foundational Understanding: Acquire a solid grasp of fundamental bioinformatics concepts, including data analysis, algorithms, and computational techniques.
Practical Skills Development: Develop hands-on proficiency in utilizing popular bioinformatics tools and software for tasks such as sequence analysis,
Data Integration Techniques: Learn advanced methods for integrating diverse biological data types, enabling a holistic approach to understanding complex data.
Problem-Solving Strategies: Enhance problem-solving skills by applying bioinformatics approaches to real-world biological questions and challenges.
You will learn about the history and applications of bioinformatics
You will learn Basic demonstration of Bioinformatics tools
Different databases used in bioinformatics
Interpretation of Sequence Alignment
Tools Used in sequence Alignment in bioinformatics
Alignment Methods and Representation
They will be able to use and know different categories of sub-databases of NCBI.
Plant Genome Databases
Secondary Databases in Bioinformatics
Protein basic Concepts
Understanding different techniques for protein prediction
Understanding Comparative or Homology modeling
Protein Modeling Using GUI Interface
Swiss Model hands on training
Protein Modeling Using CLI Interface
Protein Modeling Using Modeller
The basics of Next Generation Sequencing and how it can be used for Differential gene expression analysis via RNA sequencing.
Quality Control of NGS data
Trimming the Reads of NGS Data
Different tools for aligning reads to genome
Differential Expression Analysis.
Ultimately understand how technologies like RNA sequencing could be used to identify specific genes that can cause certain conditions.
Heatmap Generation of Results
Interpret the results of DEG's
Understanding Bioinformatics Pipeline concept
Use of Galaxy for NGS data processing
Introduction to R
Data Analysis Using R
Introduction to Linux
Data Analysis using Linux
Introduction to Python
Data Analysis using Python Language

Who is this for?

Biologists and Life Scientists: Biologists, molecular biologists, geneticists, and researchers in the life sciences who want to enhance their skills in bioinformatics.

People generally interested in new research methodologies and would like to try them themselves!

Beginner Bioinformaticians looking to understand the process of Proteins

Beginner Bioinformatics Students

People interested in researching the effects of different pathologies on gene expression or even how gene expression changes over the course of a cell's growth curve.

People looking to carry out differential gene expression and gene ontology analysis.

People who want to carry out bioinformatic analysis without the need for complex code.

Researchers are Encouraged to take this Course.

Beginners Bioinformatics Students

Industry Professionals wants to learn Bioinformatics.

What You Need to Know?

Understanding Bioinformatics Basic Concepts

Background knowledge of Biology and genetics

More details

Description
Get ready to dive into an extensive and in-depth bioinformatics course that is worth every penny and second of your time! This comprehensive program covers a wide range of bioinformatics topics, taking you from a beginner stage to a master level in the field.

The Bioinformatics course offers a holistic overview, encompassing all the essential concepts, tools, and techniques employed in the analysis and interpretation of biological data.

We kick off with a captivating Introduction to Bioinformatics, where you'll explore the rich history and development of the field, understanding its pivotal role in modern biology research. Discover the diverse applications of bioinformatics in genomics, transcriptomics, proteomics, and metabolomics, and witness how it revolutionizes these areas.

In the following section, we delve into Biological Databases. Gain proficiency in navigating and utilizing various database types, including NCBI, Ensembl, and UniProt. Learn the art of effectively searching these databases and master the management of biological data.

Prepare yourself for an enlightening exploration of File Formats in Bioinformatics. Familiarize yourself with commonly used file formats such as FASTA, FASTQ, SAM/BAM, and VCF. Discover valuable tools and techniques for manipulating, converting, and parsing these formats, equipping yourself with essential skills for data manipulation.

Next up, we tackle the intricacies of Sequence Alignment and Tools. Delve into the principles underlying sequence alignment and gain hands-on experience with powerful tools and algorithms like BLAST, ClustalW, and MUSCLE. Learn to interpret and analyze alignment results, extracting meaningful insights from your data.

Command Line Bioinformatics takes center stage in the subsequent section. Unleash the potential of bioinformatics tools and software using the command line interface (CLI). Master fundamental UNIX commands, navigate directories, create and edit files, and seamlessly run bioinformatics tools from the command line.

In Bioinformatics and Genomics on GUI and CLI, we equip you with a versatile skill set. Learn how to leverage graphical user interfaces (GUIs) and CLI-based tools simultaneously. Explore popular GUI-based bioinformatics tools like Geneious and CLC Bio, alongside CLI-based tools such as BWA and GATK. Gain the flexibility to choose the most suitable approach for your bioinformatics endeavors.

As the course draws to a close, we delve into Bioinformatics and Proteomics. Unlock the principles of proteomics and delve into tools and techniques for protein identification, quantification, and analysis. Explore how bioinformatics aids in predicting protein structure and function, as well as designing drugs and therapies based on protein interactions.

Each section of this course offers practical exercises, real-world examples, and valuable insights. You'll work with actual biological data, honing your skills in interpreting and visualizing results, and gaining a profound understanding of the challenges and opportunities bioinformatics presents.

Are you ready to embark on this transformative bioinformatics journey? Enroll in our course today and unlock the limitless potential of this captivating field!
Who this course is for:
Biologists and Life Scientists: Biologists, molecular biologists, geneticists, and researchers in the life sciences who want to enhance their skills in bioinformatics.
People generally interested in new research methodologies and would like to try them themselves!
Beginner Bioinformaticians looking to understand the process of Proteins
Beginner Bioinformatics Students
People interested in researching the effects of different pathologies on gene expression or even how gene expression changes over the course of a cell's growth curve.
People looking to carry out differential gene expression and gene ontology analysis.
People who want to carry out bioinformatic analysis without the need for complex code.
Researchers are Encouraged to take this Course.
Beginners Bioinformatics Students
Industry Professionals wants to learn Bioinformatics.

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Bioinformatics

Abdul Rehman Ikram

Instructor's Courses

My teaching skills might not be as good as experienced and professional instructors on Udemy who made handsome profits from their courses, but I am sure that I have a sincere passion to teach, to broaden my professional networks, and teach that I love to do in my bioinformatics work.My goal is to help you to understand highly complex biological data and improve your computational skills in the analysis of Genomics, Proteomics, and Transcriptomics DATA using various Bioinformatics Approaches.if you have any queries about any of my work please let me know in my Udemy inbox section I'll be happy to answer all of your questions.That was All Folks!!

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