We provide services to researchers such as:
- Reaction prediction
- molecular docking and virtual screening for compounds
- in silico mutagensis
- ADMET
- Bioinformatics analysis for DNA sequences (Phylogeny..etc)
- RNA seq
- NGS data analysis and annotation
- Biostatistics
-Single cell analysis
- R programming (basics and advanced)
-Linux programming
- Metagenomics (short and long reads)
- python scripting
- web design
- Molecular modeling
- vaccine design
- aptamer design
- CRISPR design
- RNAi design
- in silico cloning
- graphical abstract
-paraphrasing
- primer design
- annotation
- drug design using ai
-ribozyme design
- anti-microbial peptide design and mutagensis - Organism modeling (modeling whole proteins of an organism using a single molecule or extract)
- Machine learning / deep learning
- Project programming
- Adobe design (Photoshop, Illustrator, InDesign)
- Voice over
- Motion graphics
- 3D modeling
- Data analysis
- Nanoinformatics
- Immunoinformatics
- Plagiarism reduction and AI analysis
- Synergy effect detection
- Molecular dynamics
- QSAR

We also offer courses in:

Story of Bioinformatics

Drug Design

Immunoinformatics (recorded and live versions available)

RNA Sequencing

R programming

Python programming

Metagenomics

Data analysis

In addition to research projects and graduation projects

We offer the following courses:
Story of Bioinformatics
Drug Design
Immuno-informatics
Both recorded and live sessions are available
RNA-Sequencing
R Programming
Python Programming
Metagenomics
Data Analysis

Regarding the RNA-Seq course content:

Course content:

a. Introduction to RNA-Seq:

- Overview of RNA-Seq technology and its applications.

- Comparison of RNA-Seq with other gene expression analysis methods.

b. Experimental Design:

- Planning RNA-Seq experiments.

- Sample preparation, quality control, and RNA extraction.

- Replicates and statistical considerations.

c. Preprocessing and Quality Control:

- Raw data quality assessment and filtering.

- Adapter trimming.

- Quality control metrics.

d. Read Alignment:

- Alignment algorithms.

- Reference genome selection.

- Generating aligned reads.

e. Quantification of Gene Expression:

- Transcript quantification methods.

- Count matrices and gene expression profiles.

f. Differential Gene Expression Analysis:
- Gene ontology (GO) enrichment analysis.

- Pathway analysis.

- Visualization of enriched terms.

g. Data Visualization:
- Visualization techniques.

h. Functional Analysis:
- Gene ontology (GO) enrichment analysis.

- Pathway analysis.

- Visualization of enriched terms.

Regarding the course structure, 80% of the content is practical and requires hands-on application.

The course is online.

The course is recorded, meaning you can listen to it anytime.

The course duration is one month.

The certificate is accredited.

You will have a unique opportunity to publish your work through the projects you complete at the end of the course, either individually or through research teams, for a very nominal fee.

Regarding the course content:
Bioinformatics Story Course
Outline:
1- NGS
2- Sequence Retrieval
3- BLAST
4- MSA (Multiple Sequence Alignment)
5- Conserved Domain
6- Phylogeny
7- Primer Design
8- SIRNA Design
9- Microarray Data Analysis
10- CRISPR Design

Regarding the course format, 80% of the content is practical and requires hands-on application.

The course is online.

The course is recorded, meaning you can listen to it anytime.

The course duration is one month.

At the end of the course, you will receive an accredited certificate.

You will also have a unique opportunity to publish your projects at the end of the course, either individually or through research teams, for a very nominal fee.

Regarding the course content:
Bioinformatics Story Course Outline:
1- NGS
2- Sequence Retrieval
3- BLAST
4- MSA (Multiple Sequence Alignment)
5- Conserved Domain
6- Phylogeny
7- Primer Design
8- SIRNA Design
9- Microarray Data Analysis
10- CRISPR Design

The course structure is 80% practical, requiring hands-on application.

The course is online.

The course is recorded, so you can listen to it anytime.

The course duration is one month.

A certificate is awarded upon completion.

What are the details of the Immune-Informatics Course?

Regarding the course content:

• Immuno-informatics
Content:
- IgBLAST
- Vaccine design
- Multi-pitope vaccine
- Universal vaccine
- Molecular docking

Regarding the course format, 80% of the content is practical and requires hands-on application.

The course is online.

The course is recorded, meaning you can listen to it anytime.

The course duration is one month.

At the end of the course, you will receive an accredited certificate.

You will also have a unique opportunity to publish your completed projects, either individually or through research teams, for a very nominal fee.

(A complete recorded version of the course is also available.)

The price is determined based on the number of proteins and compounds you are working with. Could you please tell us the exact number so we can give you a precise price?