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
نمایش بیشتر📈 تحلیل کانال تلگرام Bioinformatics
کانال Bioinformatics (@bioinformatics) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 17 320 مشترک است و جایگاه 1 359 را در دسته پزشکی و رتبه 23 997 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 17 320 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 25 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 214 و در ۲۴ ساعت گذشته برابر 5 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 11.29% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 3.75% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 955 بازدید دریافت میکند. در اولین روز معمولاً 650 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 6 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند journal, author, bioinformatic, drug, cancer تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“Bioinformatics, Computational Biology & Systems Biology
Feel free to send your sharing, questions, requests, advertisements, news, declerations, etc. to channel admin @BioinfAssistance”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 26 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته پزشکی تبدیل کردهاند.
17 320
مشترکین
+524 ساعت
+537 روز
+21430 روز
آرشیو پست ها
17 321
+1
📃 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
17 321
🧬 One workspace for your entire analysis.
Bioinformatics should not mean juggling scripts, servers, databases, and five browser tabs.
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17 321
+1
📄 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
17 321
Repost from Network Analysis Resources & Updates
📃 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
17 321
📽 29 AI - Web Tools for Biologists, Biotechnologist, Bioinformatics
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #tool
17 321
+1
📃 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
17 321
📑 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
17 321
🧬 Molecular Docking – Online Workshop
A short, research-oriented workshop covering the fundamentals and practical workflow of Molecular Docking.
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📲Channel: @Bioinformatics
17 321
📹 AI-Powered Genome-Wide Analysis Step-by-Step Tutorial
🎞 Watch
📲Channel: @Bioinformatics
#video #ai #codex #genome
17 321
+4
📔 Principles of Scientific Writing and Biomedical Publication
👨🏫 Editors: Phil B. Fontanarosa, Annette Flanagin, Philip Greenland
💥Publisher: Oxford University Press
🌐 Study
📲Channel: @Bioinformatics
#book #writing
17 321
📔 Principles of Scientific Writing and Biomedical Publication
👨🏫 Editors: Phil B. Fontanarosa, Annette Flanagin, Philip Greenland
💥Publisher: Oxford University Press
🌐 Study
📲Channel: @Bioinformatics
#book #writing
17 321
📄 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
17 321
📃 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
17 321
📄 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
17 321
🌐 Learning resources for bioinformatics, genomics and computational biology
💥 GitHub repository
📦 Navigate
📲Channel: @Bioinformatics
#github #links #tools
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📢 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
17 321
📃 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
17 321
📑 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
17 321
📹 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
17 321
📃 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
