Bioinformatics for Everyone Beginner to Expert Guide 2023

Focused View

Abdul Rehman Ikram

8:45:15

256 View

1 - Introduction of Bioinformatics

1 - 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 - Biological Databases

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

00:51

14 - Explaining Primary Databases.mp4

02:13

15 - Explaining Primary Databases pt2.mp4

02:58

16 - Explaining Primary Databases Last Part.mp4

03:40

17 - Introduction of Secondary Databases.mp4

00:46

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

02:16

22 - Introduction of Literature Databases.mp4

00:46

23 - Explaining Literature Databases.mp4

02:28

3 - File Formats in Bioinformatics

24 - Introduction of File Formats.mp4

01:10

25 - Explaining different File Formats.mp4

04:48

26 - Summary of File Formats.mp4

00:37

4 - Segment 3 Sequence Alignment and Tools

27 - Introduction of Sequence Alignment.mp4

00:40

28 - History of Sequence Alignment.mp4

01:21

29 - Alignment Methods.mp4

01:53

30 - Interpretation of Sequence Alignment.mp4

01:20

31 - Representation and Storing of Sequences.mp4

02:55

32 - Significance and Uses of Sequence Alignment.mp4

03:53

33 - Software Used for Sequence Alignment.mp4

02:01

34 - Pairwise Sequence Alignment.mp4

09:53

35 - Tools for Pairwise Sequence Alignment.mp4

02:09

36 - Multiple Sequence Alignment.mp4

05:58

37 - Tools for Multiple Sequence Alignment.mp4

01:59

38 - Clustal tool for alignment.mp4

04:46

5 - Command line bioinformatics

39 - Introduction and Why CLI in Bioinformatics.mp4

06:02

40 - CLI and GUI Explanation.mp4

07:07

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

03:24

42 - Short Practical with Programming Language.mp4

03:15

43 - Why Would You Use CLI over GUI.mp4

03:44

44 - Foundation behind CLI Shell explanation.mp4

07:40

45 - Drawbacks of CLI and GUI.mp4

02:53

46 - Linux Introduction and Usage Over years.mp4

05:29

47 - Linux Distros.mp4

05:03

48 - Why Ubuntu Operating System.mp4

03:20

49 - WSL Explanation.mp4

02:05

50 - Linux Vs Unix.mp4

04:21

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

05:06

52 - Linux File Handling Commands.mp4

11:05

53 - Accessing And Creating Files In Windows Os.mp4

03:28

54 - Basic Process Management Commands for Linux OS.mp4

07:07

55 - Eutilities on the Linux Command Line.mp4

03:44

56 - Installing NCBI through CLi.mp4

01:19

57 - Entrez Direct Functions.mp4

02:17

58 - Mrna And Protein Seq Retrieval.mp4

03:08

59 - Batch Retrieval of Protein Using Taxon Id.mp4

02:09

60 - Retrieving CDS From Reference Genome.mp4

01:16

61 - Explaining Different Commands.mp4

01:13

6 - Bioinformatics and Genomics on GUI

62 - Introduction of Course Section.mp4

03:24

63 - Nextgeneration sequencing.mp4

02:56

64 - Generations of Sequencing.mp4

06:12

65 - NGS Workflow.mp4

04:07

66 - SRA Database introduction.mp4

03:22

67 - SRA File.mp4

02:54

68 - Galaxy Server Intro to Goals.mp4

07:04

69 - Galaxy Server And Objects.mp4

04:48

70 - Getting Onto Galaxy.mp4

02:14

71 - Tools For NGS Data Analysis.mp4

03:35

72 - Getting SRA Runs from Databases And platform.mp4

05:12

73 - Ncbi Genome to Galaxy.mp4

03:32

74 - Getting Sra Runs To Galaxy.mp4

03:25

75 - Fastqc Tool To Dataset Generated Dataset.mp4

05:22

76 - Trimmomatic Tool On Dataset.mp4

06:09

77 - Alignmentgenome Mapping.mp4

04:57

78 - Abundance Estimation Tool On Dataset.mp4

05:30

79 - From Values To Visuals Heatmap.mp4

07:41

7 - Bioinformatics and Genomics on CLI

80 - NGS Understanding.mp4

04:55

81 - Getting the SRA Reads.mp4

08:18

82 - Bioinformatics Pipeline.mp4

07:55

83 - Checking the Quality of Data.mp4

07:39

84 - Quality Trimming of data.mp4

04:34

85 - Aligners and Aligning Reads to genome.mp4

12:48

86 - SAM and Bam File Indexing and Sorting.mp4

07:15

87 - Feature Extraction.mp4

08:43

88 - Pipeline Code.html

8 - Variant Calling on Command line

89 - Introduction of Course Section.mp4

03:51

90 - Variants and Types.mp4

07:20

91 - Understanding the Metadata and Softwares.mp4

05:22

92 - Getting Data From SRA Using SRA Toolkit.mp4

07:18

93 - Quality Control and Trimming.mp4

09:46

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

07:49

95 - Alignment to Reference Genome.mp4

10:15

96 - Separation of SNPs and Indels Variants.mp4

05:17

97 - Visualizing Variants Using IGV and UCSC Browser.mp4

03:37

98 - Pipeline Code.html

9 - Bioinformatics And Proteomics

99 - Section Introduction.mp4

05:22

100 - Explaining Homology Modeling.mp4

11:09

101 - GUI based Modeling of Proteins.mp4

15:33

102 - Command Line based Protein Modeling.mp4

24:41

103 - DeNovo and Machine Learning Methods.mp4

20:11

104 - Phylogenetics Analysis.mp4

14:05

105 - Motifs and Domains analysis.mp4

12:05

106 - Protein Physical Parameters and Location Analysis.mp4

05:27

107 - ProteinProtein Interaction and Enrichment Analysis.mp4

10:13

108 - Proteins Pathway Analysis.mp4

06:08

Description

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

What You'll Learn?

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
Primary Databases in Bioinformatics
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.
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

Who is this for?

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.

More details

Description
Updated and to-the-point course. It's worth your money and time! This Course runs through segments of bioinformatics topics that you need to learn from the beginner stage to master the bioinformatics field.
The Bioinformatics course is designed to provide a comprehensive overview of the field of bioinformatics, covering the key concepts, tools, and techniques used in the analysis and interpretation of biological data.
The course begins with an Introduction to Bioinformatics, where students will learn about the history and development of the field and the role of bioinformatics in modern biology research. They will also explore the various applications of bioinformatics in areas such as genomics, transcriptomics, proteomics, and metabolomics.
The course will then delve into the topic of Biological Databases, providing an overview of the different types of databases available, and how they are used to store and manage biological data. Students will learn how to navigate and search different databases, including NCBI, Ensembl, and UniProt.
File Formats in Bioinformatics will be covered in the next section, where students will learn about the various file formats used in bioinformatics, such as FASTA, FASTQ, SAM/BAM, and VCF. They will also explore tools and techniques for working with these file formats, including conversion, manipulation, and parsing.
Sequence Alignment and Tools will be covered in the next section, where students will learn about the principles of sequence alignment, and the different tools and algorithms used for sequence alignments, such as BLAST, ClustalW, and MUSCLE. They will also learn how to interpret and analyze the results of sequence alignment.
Command Line Bioinformatics will be covered in the next section, where students will learn how to work with bioinformatics tools and software using the command line interface (CLI). They will explore basic UNIX commands, and learn how to navigate directories, create and edit files, and run bioinformatics tools from the command line.
Bioinformatics and Genomics on GUI and CLI will be covered in the next section, where students will learn how to work with bioinformatics tools and software using graphical user interfaces (GUIs), as well as the command line interface (CLI). They will explore popular GUI-based bioinformatics tools, such as Geneious and CLC Bio, as well as CLI-based tools such as BWA and GATK.
The course will conclude with Bioinformatics and Proteomics, where students will learn about the principles of proteomics, and the different tools and techniques used for protein identification, quantification, and analysis. They will also explore how bioinformatics is used to predict protein structure and function, and design drugs and therapies based on protein interactions.
Who this course is for:
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.

User Reviews

Rating

average 0

Total votes0

Focused display

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!!

Udemy

View courses Udemy

Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.