💎Step by step procedure of Molecular docking using AutoDock Vina

https://youtu.be/khme_Ae6vt4

Channel: @Bioinformatics

🎞 Online Course
Introduction to deep learning for biologists

https://www.physalia-courses.org/courses-workshops/course67/

Channel: @Bioinformatics

📄 A brief (3 pages paper) for overall docking issues:

Molecular Docking: Approaches, Types, Applications and Basic Challenges

https://www.omicsonline.org/open-access/molecular-docking-approaches-types-applications-and-basic-challenges-2155-9872-1000356.pdf

Channel: @Bioinformatics

Free Bioinformatics workshop with e-certificate

🔻 Decodelife.org is going to organise FREE a new online Interactive workshop
🔻 E-certificate will be provided for participants
🔻 No registration Fee is required

https://forms.gle/31A4dThCaG1hS69G6

Channel: @Bioinformatics

📑 FREE CRISPER CAS9 CERTIFICATE COURSE

BioFlix presents its CRISPR CAS9 Course that focuses more on theory, applications, and recent advancement of genome engineering with more emphasis on research.

https://bio-flix.com/course-directory/crisper-cas9-course/

The content of this course on genome engineering using CRISPR includes
1. Introduction to Genome editing
2. Introduction to NHEJ pathway
3. Introduction to Homology directed repair pathway
4. NHEJ and HDR in cell cycle
5. Genome editing outcomes using NHEJ
6. Genome editing outcomes using HDR
7. Introduction to restriction enzymes
8. Introduction to Zinc finger domain
9. Zinc finger nucleases- an overview
10. Genome editing with ZFNs
11. Introduction to TALE proteins
12. Crystal structure of TALE proteins
13. Creation of sequence specific nuclease using TALENS
14. Genome editing with TALENs
15. Introduction to CRISPR
16. Introduction to PAM sequence
17. Whole mechanism of CRISPR-Cas9
18. Importance of CRISPR over RDT
19. Retrieval of protein sequence
20. Retrieval of mRNA from a gene
21. Prediction of target site
22. Interpretation of target prediction site result
23. Introduction to Genomic targets
24. Search for specific exon from the sequence
25. Target site prediction using E-CRISP design
26. Interpretation of E-CRISP design result
27. Drawbacks of E-CRISP design tool
28. Target site prediction using CRISPR-ERA
29. Interpretation of CRISPR-ERA result
30. Target site prediction using CCTop
31. Pre-requisites for CRISPR-Cas9 gene editing
32. Identification of start codon of a gene
33. Authentication of start codon using ENSEMBL
34. Introduction to sgRNA
35. Steps required to design sgRNA
36. Design of sgRNA 1
37. Design of sgRNA 2
38. Plasmid selection

https://bio-flix.com/course-directory/crisper-cas9-course/

Channel: @Bioinformatics

🆕 Biopython 1.78 released

https://biopython.org/wiki/Download

Channel: @Bioinformatics

📑 FREE VACCINE DESIGNING CERTIFICATE COURSE

BioFlix presents its vaccine designing course that focuses more on theory, applications, and recent advancement of immunoinformatics and vaccine designing with more emphasis on research.

https://bio-flix.com/course-directory/vaccine-designing-course/


1. Introduction to immunology
2. Innate and adaptive immunity
3. Introduction to b cells
4. Introduction to t cells
5. T cells and MHC
6. Introduction to antibodies
7. Introduction to vaccine designing
8. Reverse vaccine
9. Retrieval of protein sequence from NCBI
10. Sub-cellular localization of proteins
11. Antigenicity prediction of the sequence
12. Allergy prediction of the sequence
13. Physio-chemical parameter prediction of sequence
14. Super secondary protein prediction of sequence
15. Query antigen 3d structure
16. Interpretation of blast result
17. Introduction to homology modelling
18. Automated modelling of protein sequence
19. Interpretation of swiss model result
20. Interpretation of phyre result
21. Retrieval of swiss models
22. Validation of 3d antigen models
23. An introduction to ramachandran plot
24. Validation of models using ramachandran plot
25. Linear b cell epitope prediction
26. Interpretation of epitope prediction result
27. Discontinuous b cell epitope prediction
28. MHC 1 and MHC 2 class prediction
29. MHC 1 and MHC 2 class prediction interpretation

https://bio-flix.com/course-directory/vaccine-designing-course/

Channel: @Bioinformatics

📖 Molecular Biology for Computer Scientists

https://tandy.cs.illinois.edu/Hunter_MolecularBiology.pdf

Channel: @Bioinformatics

🦠 Is the COVID-19 data reliable?
Which countries from China, USA, Brazil, India, Peru, South Africa, Colombia, Mexico, Spain, Argentina, Chile, the United Kingdom, France, Saudi Arabia, Russia and Iran, seems to manipulate the related data?

👉🏻 https://www.researchgate.net/publication/344164702_Is_the_COVID-19_data_reliable_A_statistical_analysis_with_Benford's_Law

Channel: @Bioinformatics

💰Bioinformatics Market Overview:

The global bioinformatics market generated $6,389 million in 2017, and is projected to reach $18,233 million by 2025, growing at a CAGR of 13.8% from 2018 to 2025.

KEY MARKET SEGMENTS includes:

By Technology & Services
o Knowledge Management Tools
-Generalized Knowledge Management Tools
-Specialized Knowledge Management Tools
o Bioinformatics Platforms
-Sequence Analysis Platforms
-Sequence Alignment Platforms
-Sequence Manipulation Platforms
-Structural Analysis Platforms
-Others
o Bioinformatics Services
-Sequencing Services
-Database & Management
-Data Analysis
-Others

By Application
o Metabolomics
o Molecular Phylogenetics
o Trannoscriptomics
o Proteomics
o Chemoinformatics
o Genomics
o Others

By Sector
o Medical Bioinformatics
o Animal Bioinformatics
o Agriculture Bioinformatics
o Academics
o Others

Competitive Landscape:
The key players operating in this market include
• Agilent Technologies, Inc.
• Geneva Bioinformatics (Genebio)
• Dassault Systems
• Eurofins Scientific
• Illumina Inc.
• Bruker Daltonics Inc.
• Biomax Informatics AG
• Perkinelmer Inc.
• Qiagen N.V.
• Thermo Fisher Scientific, Inc.

more information:
https://www.alliedmarketresearch.com/bioinformatics-market

https://www.marketwatch.com/press-release/global-bioinformatics-market-2020-top-countries-data-industry-size-share-business-growth-revenue-trends-market-demand-penetration-and-forecast-to-by-360-market-updates-2020-09-09

Channel: @Bioinformatics

👨‍🏫 FREE COMPUTER AIDED DRUG DISCOVERY CERTIFICATE COURSE

BioFlix presents its Computer-Aided Drug Designing Course that focuses more on theory, applications, and recent advancement of computational drug discovery and designing techniques with more emphasis on research.

https://bio-flix.com/course-directory/computer-aided-drug-designing-course/

The contents of this free certificate course include:
1) Introduction to CADD
2) Introduction to ligands and ligand databases
3) Retrieval of ligand structure from PubChem
4) Generation of 3D structure of ligand using OpenBabel
5) Generation of 3D structure of ligand using ChemSketch and SMILES notation
6) Determination of human health effect of the ligand based on Cramer's decision tree
7) Prediction of molecular and drug likeness properties of the ligand
8) Prediction of ADMET effect of the ligand
9) Introduction to protein and protein databases
10) retrieval of primary structure of proteins
11) retrieval and visualizing 3D structure of proteins
12) Modelling of 3D crystal structure of protein from its sequence
13) Validation of the generated model using Ramachandran plot
14) Virtual screening using molecular docking approach
15) Visualization of the docked protein and ligand interaction using PyMOL

https://bio-flix.com/course-directory/computer-aided-drug-designing-course/

Channel: @Bioinformatics

📉 Genes to Pathways

https://www.youtube.com/watch?v=ftwQR8GtQzM

Channel: @Bioinformatics

🏬 Introduction to European Bioinformatics Institute - EMBL-EBI

https://www.youtube.com/watch?v=cABhbUHsKIk

Channel: @Bioinformatics

💥New version, 2020, of the "Theoretical Biology and Bioinformatics" Booklet from Utrecht University is now downloadable form here:

http://tbb.bio.uu.nl/BDA/2020/reader_2020.pdf

Channel: @Bioinformatics

🏛 HarvardX Biomedical Data Science Open Online Training

🖇 Includes:
-Data Analysis for the Life Sciences
-Genomics Data Analysis
-Using Python for Research

http://rafalab.github.io/pages/harvardx.html

Channel: @Bioinformatics

Here comes 5th International career talk webinar series from LLB-SCHOOL, France 🎊

👉Topic: “Are you ready for the opportunities in Bioinformatics domains? A walkthrough!”

Guest Speaker:
Dr. Girinath Pillai
Zastra Innovations, Pvt Ltd
Bangalore, India

👉 Here is the Registration link 🔗
https://tinyurl.com/ICTWS5Register
Scheduled on : September 26th, 2 30PM (CEST) & 6PM (IST)⏳

After your successful feedback completion you will receive your e-certificates within a week

Channel: @Bioinformatics

💥Alternative drug repurposing methods for COVID-19

https://www.sciencedirect.com/science/article/pii/S2589750020301928

Channel: @Bioinformatics

🏢 Job Prospects as a Bioinformatics Graduate

Studying bioinformatics, I was often asked where you can work as a bioinformatician. In my experience, about 80% of bioinformatics position are in research or the public sector. The problem with research positions is that they are usually fixed-term (e.g. two years) because these positions are often financed using project funds. In the public sector, bioinformaticians are often sought after in the medical field (e.g. in hospitals) and in health-related government institutions. The advantage of positions in the public-sector is that they are frequently permanent. However, a job in a public institution such as a hospital often involves system administration duties such as setting up computers and databases - tasks that have little to do with bioinformatics itself. Moreover, both research and public-sector positions offer relatively low salaries compared to industry.

In my estimation, only about 20% of bioinformatics positions are in industry. Why is the percentage so low? In my view, the main reason is that only industry sector that employs bioinformaticians is big pharma. Here, bioinformaticians are needed to perform tasks such as:

Modeling: Estimation of protein structures and simulation of molecular interactions
Data processing: processing and analyzing sequencing data, for example, from next-generation sequencing or single-cell sequencing
Virtual screening: discovery of leads (potential new drugs) using computational methods
Data science: analysis and interpretation of data

Since bioinformatics is very research-oriented and jobs in industry are few, many graduates (maybe 40%) join PhD programs. The ones joining industry usually work in non-bioinformatics positions, for example, as IT consultants, software developers, solutions architects, or data scientists.

Some people advise against studying bioinformatics because it is supposed to be difficult to find a job afterwards. I didn’t have that experience at all and I received many job offers from recruiters. I would argue that, having a bioinformatics degree, job prospects are fine, considering that bioinformaticians have a special skill set, which makes them attractive for companies:

--Bioinformatics graduates exhibit the characteristics of T-shaped professionals. This allows them to perform a variety of tasks and to act as facilitators in interdisciplinary teams.
-Bioinformatics graduates often have more practical experience writing software than computer-science graduates.
-Bioinformatics graduates are keen learners. Their proficiency in multiple disciplines demonstrates that they can easily adapt to new situations.

study here more:
https://www.datascienceblog.net/post/commentary/studying-bioinformatics-is-it-worth-it/

Channel: @Bioinformatics

👨‍💻 12 days Mega workshop with e-certificate

Organised by- decodelife.org

Registration link
https://decodelife.org/recent-training-workshop/

Channel: @Bioinformatics

💉 Rapid coronavirus mutation and potential evolution

https://www.washingtonpost.com/health/2020/09/23/houston-coronavirus-mutations/?arc404=true

Channel: @Bioinformatics

🎞 Recorded Workshops of Immunoinformatics:

https://youtu.be/6i_KzbLfSCQ
https://youtu.be/GDDZu6ZRI_g

Channel: @Bioinformatics