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
Mostrar más📈 Análisis del canal de Telegram Bioinformatics
El canal Bioinformatics (@bioinformatics) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 17 325 suscriptores, ocupando la posición 1 349 en la categoría Medicina y el puesto 23 829 en la región India.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 17 325 suscriptores.
Según los últimos datos del 26 agosto, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 217, y en las últimas 24 horas de 4, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 11.67%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 3.79% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 2 022 visualizaciones. En el primer día suele acumular 657 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 6.
- Intereses temáticos: El contenido se centra en temas clave como journal, author, bioinformatic, drug, cancer.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Bioinformatics, Computational Biology & Systems Biology
Feel free to send your sharing, questions, requests, advertisements, news, declerations, etc. to channel admin @BioinfAssistance”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 27 agosto, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Medicina.
17 325
Suscriptores
+424 horas
+547 días
+21730 días
Archivo de publicaciones
17 321
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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
17 321
🧬 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
17 321
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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
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
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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
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.
🎓 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
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
