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Bioinformatics

Bioinformatics

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Bioinformatics, Computational Biology & Systems Biology Feel free to send your sharing, questions, requests, advertisements, news, declerations, etc. to channel admin @BioinfAssistance

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📈 Analytical overview of Telegram channel Bioinformatics

Channel Bioinformatics (@bioinformatics) in the English language segment is an active participant. Currently, the community unites 17 325 subscribers, ranking 1 349 in the Medicine category and 23 829 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 325 subscribers.

According to the latest data from 26 August, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 217 over the last 30 days and by 4 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 11.67%. Within the first 24 hours after publication, content typically collects 3.79% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 022 views. Within the first day, a publication typically gains 657 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 6.
  • Thematic interests: Content is focused on key topics such as journal, author, bioinformatic, drug, cancer.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
Bioinformatics, Computational Biology & Systems Biology Feel free to send your sharing, questions, requests, advertisements, news, declerations, etc. to channel admin @BioinfAssistance

Thanks to the high frequency of updates (latest data received on 27 August, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Medicine category.

17 325
Subscribers
+424 hours
+547 days
+21730 days
Posts Archive
📃 New genomic and proteomic biomarker discovery in cancer: revolutionizing diagnosis and prognostication 📕 Journal: World J
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📃 New genomic and proteomic biomarker discovery in cancer: revolutionizing diagnosis and prognostication 📕 Journal: World Journal of Surgical Oncology (IF: 2.8) 🗓 Publish year: 2026 🧑‍💻 Authors: Monika Rajput, Manoj Pandey, Ruhi Dixit 🏢 Affiliation: Banaras Hindu University, India 📎 Study the paper 📲 Channel: @Bioinformatics #review #cancer #biomarkers #multiomics #ai #genomics #proteomics

🧬 One workspace for your entire analysis. Bioinformatics should not mean juggling scripts, servers, databases, and five brow
🧬 One workspace for your entire analysis. Bioinformatics should not mean juggling scripts, servers, databases, and five browser tabs. Pan.bio is an end to end, AI powered bioinformatics platform built for researchers, students, and small biotech teams 📓 Notebooks, Python and R sessions in the cloud with your data sitting next to your code 🤖 bioMind, your AI assistant inside the notebook. Ask in plain language, and it writes the analysis code, explains what it does, and suggests the next step 🧪 Workflows, 80+ ready to run pipelines for RNA-seq, variant calling, single cell, metagenomics,and proteomics. No cluster setup, no installations 🔬 VAIC, clinical grade variant interpretation. Enter a gene and a variant, and get an ACMG/AMP classification with transparent point based scoring and ClinVar, gnomAD, and OMIM evidence you can review yourself 👥 Cohorts Explorer, disease specific patient cohorts you can filter by disease, ancestry, region, and data type 🚀 Run your first analysis today 🔗 pan.bio

📄 Generative AI for synthetic biology: Designing biological parts, circuits, and genomes 📘 Journal: Cell Systems (I.F.=7.5)
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📄 Generative AI for synthetic biology: Designing biological parts, circuits, and genomes 📘 Journal: Cell Systems (I.F.=7.5) 🗓Publish year: 2026 🧑‍💻Author: Nayoung Kim, Giuliano De Carluccio, Kehan Zhang, ... 🏢University: Harvard University, USA 📎 Study the paper 📲Channel: @Bioinformatics #perspective #ai #synthetic_biology

📃 Graph-based drug–target interaction modeling: from representation learning to output-driven drug discovery 📗 Briefings in
📃 Graph-based drug–target interaction modeling: from representation learning to output-driven drug discovery 📗 Briefings in Bioinformatics (Impact Factor: 7.3, Q1) 🗓 2026 🧑‍💻 Thanh Nguyen , Hien Minh To , Duy Anh Nguyen ,... 🏢 Nanyang Biologics, Singapore 📎 Study the paper ⚡️ @ComplexNetworkAnalysis #review #drug_target #bipartite

📽 29 AI - Web Tools for Biologists, Biotechnologist, Bioinformatics 🎞 Watch 📲Channel: @Bioinformatics #video #ai #tool

📃 Eras of Bioinformatics Technologies from Command-Line Interfaces to Artificial Intelligence (AI) Chatbots 📚 Journal: Brie
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📃 Eras of Bioinformatics Technologies from Command-Line Interfaces to Artificial Intelligence (AI) Chatbots 📚 Journal: Briefings in Bioinformatics (IF: 7.7) 📅 Year: 2026 👥 Authors: Van Q. Truong — Institute for Biomedical Informatics, University of Pennsylvania, Philadelphia, PA, 🇺🇸 United States Marylyn D. Ritchie — Division of Biomedical Informatics & AI, Medical University of South Carolina, Charleston, SC, 🇺🇸 United States 📎 Study the paper 📲Channel: @Bioinformatics #review #ArtificialIntelligence #LLM #GenomicsHistory #AIChatbots #ComputationalBiology

📑 A survey of models composed of graph neural networks and large language models for molecular science 📕 Journal: Bioinform
📑 A survey of models composed of graph neural networks and large language models for molecular science 📕 Journal: Bioinformatics (I.F.=5.5) 🗓 Publish year: 2026 🧑‍💻Authors: Natàlia Segura-Alabart, Francesc Serratosa 🏢University: Universitat Rovira i Virgili, Departament d'Enginyeria Informàtica i Matemàtiques, Tarragona, Catalonia, Spain 📎 Study the paper ⚡️Channel: @ComplexNetworkAnalysis #review #GNN #LLM #MolecularScience

🧬 Molecular Docking – Online Workshop A short, research-oriented workshop covering the fundamentals and practical workflow o
🧬 Molecular Docking – Online Workshop A short, research-oriented workshop covering the fundamentals and practical workflow of Molecular Docking. 🎓 For: UG | PG | PhD Scholars | Researchers | Faculties 👨‍🔬 Trainer: PhD Researcher & Subject Expert 💻 Mode: Fully Online 📜 Course Completion Certificate 📅 Date: 20th and 21st Aug ⏰ Time: 7:30 pm to 9:30 pm IST 📩 Interested? DM here or contact: 📧 a3researchassistance@gmail.com | 📱 +91 8089698061 / +91 8075629598 Follow our page for more details on more batches. Interested candidates who would like to join in the upcoming batches can also reach out. 🔗 LinkedIn: https://www.linkedin.com/company/a3-research-assistance/ 💥Limited seats available. 📲Channel: @Bioinformatics

📹 AI-Powered Genome-Wide Analysis Step-by-Step Tutorial 🎞 Watch 📲Channel: @Bioinformatics #video #ai #codex #genome

📔 Principles of Scientific Writing and Biomedical Publication 👨‍🏫 Editors: Phil B. Fontanarosa, Annette Flanagin, Philip G
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📔 Principles of Scientific Writing and Biomedical Publication 👨‍🏫 Editors: Phil B. Fontanarosa, Annette Flanagin, Philip Greenland 💥Publisher: Oxford University Press 🌐 Study 📲Channel: @Bioinformatics #book #writing

📔 Principles of Scientific Writing and Biomedical Publication 👨‍🏫 Editors: Phil B. Fontanarosa, Annette Flanagin, Philip Greenland 💥Publisher: Oxford University Press 🌐 Study 📲Channel: @Bioinformatics #book #writing

📄 Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review 📕 Journal: BioD
📄 Exploring the use of machine and deep learning in genome-wide association studies: a comprehensive review 📕 Journal: BioData Mining (I.F.=7.9) 🗓 Publish year: 2026 🧑‍💻Authors: Salvatore D'Antona, Mawada Elmagboul Abdalla Abakar, Daniele Ramazzotti, Marco Antoniotti, Alex Graudenzi 🏢University: University of Milan-Bicocca, Milan & Bicocca Bioinformatics Biostatistics and Bioimaging Centre (B4), Italy 📎 Study the paper 📲Channel: @Bioinformatics #review #GWAS #machine_learning #deep_learning

📃 Generative molecular dynamics 📘 Journal: Current Opinion in Structural Biology (I.F.=7.8) 🗓Publish year: 2026 🧑‍💻Autho
📃 Generative molecular dynamics 📘 Journal: Current Opinion in Structural Biology (I.F.=7.8) 🗓Publish year: 2026 🧑‍💻Author: Simon Olsson 🏢Universities: Chalmers University of Technology and University of Gothenburg, Sweden 📎 Study the paper 📲Channel: @Bioinformatics #review #generative_ai #docking

📄 Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Adva
📄 Generative Artificial Intelligence in Bioinformatics: A Systematic Review of Models, Applications, and Methodological Advances 📔 Journal: Archives of Computational Methods in Engineering (I.F.=12.9) 🗓Publish year: 2026 🧑‍💻Authors: Wasimul Karim, Riasad Alvi, Sayeem Been Zaman, ... 🏢Universities: Monash University & Charles Darwin University, , Australia - Lappeenranta-Lahti University of Technology, Finland - Pennsylvania State University, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #llm #ai #generative_ai

🌐 Learning resources for bioinformatics, genomics and computational biology 💥 GitHub repository 📦 Navigate 📲Channel: @Bio
🌐 Learning resources for bioinformatics, genomics and computational biology 💥 GitHub repository 📦 Navigate 📲Channel: @Bioinformatics #github #links #tools

📢 Registration is open for One Month International Bioinformatics Workshop 📌 🧬 Topic: *Advanced Molecular Dynamics (MD) Si
📢 Registration is open for One Month International Bioinformatics Workshop 📌 🧬 Topic: *Advanced Molecular Dynamics (MD) Simulation and DFT - 3rd Edition* 🏢 Organized by: Decode Life 📅 Duration: 5 August – 30 August 2026 ⏰ Time: 7:30 PM IST ✍️ Registration Link: 🔗 https://decodelife.co.in 🎯 Who can join: • Life Science Students • Researchers • Bioinformatics / Biotechnology learners • Anyone interested in Computational Drug Discovery ✨ Key Features: • Video recording available • Meaningful networking • E-certificate 📲Channel: @Bioinformatics

📃 Artificial intelligence agents in cancer research and oncology 📕 Journal: Nature Reviews Cancer (🔥I.F.=60.7) 🗓Publish y
📃 Artificial intelligence agents in cancer research and oncology 📕 Journal: Nature Reviews Cancer (🔥I.F.=60.7) 🗓Publish year: 2026 🧑‍💻Authors: Daniel Truhn, Shekoofeh Azizi, James Zou, ... 🏢Universities: RWTH Aachen University, Germany - Stanford University & Harvard Medical School, USA - Google DeepMind, Toronto, Ontario, Canada - La Fe Health Research Institute, Spain 📎 Study the paper 📲Channel: @Bioinformatics #review #cancer #ai #agents #oncology

📑 Biological Sequence Clustering: A Survey 🗓 Publish year: 2026 🧑‍💻Authors: Simeng Zhang, Xinying Liu, Jun Lou, ... 🏢Uni
📑 Biological Sequence Clustering: A Survey 🗓 Publish year: 2026 🧑‍💻Authors: Simeng Zhang, Xinying Liu, Jun Lou, ... 🏢Universities: Dalian University of Technology & University of Electronic Science and Technology of China, China 📎 Study the paper 📲Channel: @Bioinformatics #review #sequence #clustering

📹 Agentic AI for Bioinformatics 🔹 Why traditional bioinformatics pipelines are hitting a wall? 🔹How I built AI agents that handle my email, research radar, and data analysis? 🔹ClawBio: packaging reproducible bioinformatics as AI agent skills 🔹What this means for the future of genomics research? 🎞 Watch 📲Channel: @Bioinformatics #review #ai #agentic

📃 Advantages and Limitations of AlphaFold in Structural Biology: Insights from Recent Studies 📙 Journal: Signal Transductio
📃 Advantages and Limitations of AlphaFold in Structural Biology: Insights from Recent Studies 📙 Journal: Signal Transduction and Targeted Therapy (🔥I.F.=81.2) 🗓 Publish year: 2026 🧑‍💻Authors: Mandarina Qing Cheng Li, Sihan Wang, Shi-Ruei Lin, Li Eric Ngok Ting, ... 🏢Universities: Nanomega CryoAI Corporation & The University of Chicago, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #alphafold #protein