Course Content
Bioinformatics Databases
0/18
Introduction to National Center of Biotechnology Information (NCBI)
18:02
Sequence Analysis
17:59
Sequence Retrieval from NCBI
16:17
PubMed Central & ENTREZ
11:07
GenBank: Nucleotide Database on NCBI
06:50
FASTA vs. GenBank
18:26
Gene Database: A Comprehensive Gene Database
30:21
NCBI Genomes & NCBI Assembly: Retrieval of Genomes
36:14
RefSeq Database: Retrieval of Single Reference Sequences
11:16
BLAST Database Searching
25:37
Introduction to UCSC Genome Browser & SARS-CoV-2 Viral Genome
13:40
Retrieve an Entire Genome & Retrieval of SARS-CoV-2 Viral Genome
09:41
Retrieval of Genomic Data & Annotation of SARS-CoV-2 Viral Genome
05:28
Introduction to ENSEMBL
07:50
Retrieval of a Gene-Protein-Chromosomal Region
18:02
Introduction to Phytozome
09:39
Interpret Plant Genome Records
09:07
Download an Entire Plant Genome & Proteome
26:41
Bioinformatics File Formats
0/6
FASTA (Sequence Format)
06:13
GenBank (Sequence Annotation Format)
07:08
Gene File Format/Gene Transfer Format
11:07
Clustal Omega Alignment Format
05:08
BED (Gene Structure Format)
04:27
MEGA (Alignment Format)
05:32
Protein Databases & Analysis
0/9
Introduction to Molecular Modeling Database
08:07
Introduction to UniProt
09:56
UniProtKB & Protein Analysis
39:30
Accurately Searching for a Protein Structure on PDB & Protein Analysis
13:56
Introduction to Protein Data Bank (PDB)
06:45
Introduction to InterPro
04:10
HMMER – Hidden Markov Model Based Protein Profiles Database
13:16
SignalP: Prediction of Signal Peptides
07:57
TargetP: Prediction of Protein Localization
09:22
Sequence Alignment & Analysis
0/5
EMBOSS NEEDLE: Global Alignment of Sequences
20:02
EMBOSS Water
09:10
Clustal Omega: Most Reliable Multiple Sequence Alignment Tool
19:18
MEGA – Multiple Sequence Alignment
04:23
Jalview
13:42
Phylogenetic Analysis
0/1
iTOL: Creating Publishable Phylogenetic Figures
13:43
Genomics Tools
0/1
Gene Structure Display Server 2.0
08:36
Python
0/20
Introduction to Python and its Installation
08:25
Comments
05:43
Basic Input and Output
15:38
Mathematical Operations
07:20
Strings
21:51
Dictionaries
10:57
Lists
28:48
Tuples
10:38
Sets
07:36
If-Else
09:19
For Loop and Calculation of Molecular Weight of Proteins
10:56
While Loop and Biological Data Analysis
09:37
Reading Files
13:45
Writing Files
07:18
Consolidate (merge) multiple DNA and Protein Sequences into one FASTA file
09:25
OS Module
31:47
CSV (A special kind of file in Bioinformatics)
08:42
Function
26:41
With
08:50
Error Handling
15:31
R
0/41
Introduction to R in Bioinformatics & R Installation
09:48
The R Studio Interface Explanation
06:23
Comments
04:17
Sample & Replacement
09:09
Variable Declaration and Objects
05:24
Built-in Functions & ARGS
04:32
Write Your Own Functions And Arguments
05:39
Scripts
07:36
Attributes and Names
04:46
Characters
04:43
Doubles
03:31
Logicals
02:27
Factors
06:41
Atomic Vectors
02:43
Dim & Dimensions
05:46
Coerciona
04:27
Integers
03:23
Matrix & Matrices
04:43
Arrays
03:42
Class
03:13
Lists
06:42
Getting Help with Help Packages
03:43
Packages
04:00
Install Bioinformatics Packages
05:25
Library & Initialization of Packages
02:28
Loading Biological Data
07:56
Zero Notation for Subsetting Biological Datasets
01:09
Saving Biological Data
05:27
R Notation & Selecting Values from Biological Dataset
04:09
Data Frames
06:30
Positive Integers for Subsetting Biological Dataset
05:26
Negative Integers for Subsetting Biological Dataset
05:28
Dollar Signs for Biological Dataset Subsetting
02:58
Blank Spaces For Biological Data Subsetting
03:21
Modifying Values in Existing Datasets
07:06
NA Values in Biological Dataset
05:25
Figuring out NA Values in Biological Dataset
02:06
Logical Subsetting in Biological Datasets
09:46
If Else Statement
04:15
For Loops & Biological Data Binding
16:30
While Loops & Reading Multiple Biological Datasets
16:16
Evaluation
0/1
Exercises
01:30:00
Basic Bioinformatician Course
00:00
00:00
About Lesson

Exercise Files
An Introduction to National Center for Biotenchnology.pptx
Size: 5.88 MB
An Introduction to National Center for Biotechnology.pdf
Size: 169.08 KB
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