Bioinformatics
16.9K subscribers
1.93K photos
6 videos
8 files
1.96K links
Bioinformatics, Computational Biology & Systems Biology

Feel free to send your sharing, questions, requests, advertisements, news, declerations, etc. to channel admin @BioinfAssistance
Download Telegram
πŸ’₯INTERNATIONAL VIRTUAL INTERNSHIP IN STRUCTURAL BIOINFORMATICS AND GENOMICSπŸ’₯

🎯OUTCOMES
-
Opportunity to learn Structural Bioinformatics domains: Computer-Aided Drug Design (CADD), MD Simulations, and Membrane Simulations using CHARMM-GUI; Genomics domains: Next Generation Sequencing (NGS), RNA-Sequencing, and DE Analysis
- Great opportunity to expand network with international students
- Chance To get International Standard Certification.

πŸ‘¨πŸ»β€πŸ’ΌπŸ‘©β€πŸ« Highly Skilled Tutors
- Dr. Fayyaz, Centre for Computational Biology, University of Birmingham, UK
- Dr. Hemavathy N, NyBerMan Structural Bioinformatics team
- Dr. Anushree, National Centre of Biological Sciences (NCBS)
- Dr. Ponmathi, NyBerMan Genomics team

πŸ‘©β€πŸŽ“Qualifications:
Anyone interested in excelling in Structural Bioinformatics & Genomics domains

πŸ’°Payment and Package details

🌐 Register for
πŸ–‡Structural Bioinformatics
πŸ–‡Genomics

πŸ“²Channel: @Bioinformatics

#internship #strcturebioinfo #ngs #rnaseq #omics
πŸ‘7
This media is not supported in your browser
VIEW IN TELEGRAM
πŸ’₯International Virtual Workshop on OMICS data analysis: Concepts, Methods & Applications, 18-23rd February 2023

🏫Jointly organised by
- Madurai Kamaraj University
- Dr.M.G.R Educational & Research Institute University
- Parul University
- NyBerMan Bioinformatics Europe, Orleans, France
- Quanta Calculus Pvt Ltd
- Dwaraka Doss Goverdhan Doss Vaishnav College
- Bannari Amman Institute of Technology

✳️Workshop benefits
- Provided with participation certificate (max 8 out of 10 live sessions attendance is expected)
- Recorded videos are provided every day after the sessions are over, available as an on-demand video for only 48 hours.
- Live chat support available for all technical queries during off and live sessions

πŸ“šCheck for more details in the flyer
✍️Read testimonials from session 1 participants.
πŸ‘¨β€πŸ’»Register now:
https://bit.ly/3JjCj2V

πŸ“’Β«Β«Β«Β«Β«Β«Β«
Related Channel @llbschool
Related Forum @letslearnbioinformatics

πŸ“²Channel: @Bioinformatics
#internationalworkshop #genomics #omics
πŸ‘9❀2
πŸ“„Multi-omics profiling for health

πŸ“˜Journal: Molecular & Cellular Proteomics (MCP) (I.F.=7.381)
πŸ—“Publish year: 2023

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #omics #health
πŸ‘7πŸ‘2
πŸ“ƒAdvances and Trends in Omics Technology Development

πŸ“”Journal: Frontiers in Medicine (I.F.=5.058)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #omics
πŸ‘9
πŸ“ƒA Review of Machine Learning Methods and Tools for Integrated Multi-Omics Analyses in Oncology

πŸ“˜ Journal: Frontiers in Oncology (I.F.=4.7)
πŸ—“Publish year: 2022

πŸ“Ž Study

πŸ“²Channel: @Bioinformatics
#review #oncology #machine_learning #omics
πŸ‘5πŸ‘Œ1
πŸ“„ Rise of Deep Learning Clinical Applications and Challenges in Omics Data: A Systematic Review

πŸ“” Journal: Diagnostics (I.F.=3.6)
πŸ—“ Publish year: 2023

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #deep_learning #clinical #omics
πŸ‘3
πŸ“‘ Explainable artificial intelligence for omics data: a systematic mapping study

πŸ“—Journal: Briefings in Bioinformatics (I.F.=9.5)
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: Philipp A Toussaint, Florian Leiser, Scott Thiebes, ...
🏒University: Department of Economics and Management - University of Augsburg , Germany

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #explainable #ai #omics
πŸ‘4❀2
πŸ“ƒ From Data to Cure: A Comprehensive Exploration of Multi-omics Data Analysis for Targeted Therapies

πŸ“˜Journal: Molecular Biotechnology (I.F.=2.6)
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: Arnab Mukherjee, Suzanna Abraham, Akshita Singh, ...
🏒University: Manipal Institute of Technology, India

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #omics #machine_learning
πŸ‘8
πŸ“ƒThe promise of explainable deep learning for omics data analysis: Adding new discovery tools to AI

πŸ“• Journal: New Biotechnology (I.F.=4.5)
πŸ—“ Publish year: 2023

πŸ§‘β€πŸ’»Authors: Mariangela Santorsola, Francesco Lescai
🏒Universities: University of Pavia, Italy

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #explainability #deep_learning #omics
πŸ‘4πŸ‘1
πŸ“ƒChallenges and best practices in omics benchmarking

πŸ“™Journal: Nature Reviews Genetics (πŸ”₯I.F.=39.1)
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: Thomas G. Brooks, Nicholas F. Lahens, Antonijo Mrčela, ...
🏒University: University of Pennsylvania, USA

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #omics #benchmarking
❀4πŸ‘4πŸ‘1
πŸ“‘From Omics to Multi-Omics: A Review of Advantages and Tradeoffs

πŸ“— Journal:
Genes (I.F.=2.8)
πŸ—“Publish year: 2024

πŸ§‘β€πŸ’»Authors: C. Nelson Hayes, Hikaru Nakahara, Atsushi Ono, ...
🏒Universities: Hiroshima University, Japan

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #omics
πŸ‘4❀1πŸ”₯1πŸ‘Œ1
πŸ“„Comprehensive Evaluation of Multi-Omics Clustering Algorithms for Cancer Molecular Subtyping

πŸ“˜ Journal: International Journal of Molecular Sciences (I.F.=4.9)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»Authors: Juan Wang,Lingxiao Wang,Yi Liu, ...

🏒Universities: Anhui Medical University-Beijing Institute of Lifeomics, China

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #omics #clustering #cancer #subtyping
❀1πŸ‘Œ1