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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 17 106 subscribers, ranking 1 369 in the Medicine category and 24 569 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 106 subscribers.

According to the latest data from 26 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 164 over the last 30 days and by 7 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 13.68%. Within the first 24 hours after publication, content typically collects 3.83% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 2 340 views. Within the first day, a publication typically gains 655 views.
  • Reactions and interaction: The audience actively supports content: the average number of reactions per post is 5.
  • 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 July, 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.

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Channel Posts
📃 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

2
📑 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
1 716
3
📹 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
2 188
4
📃 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
2 034
5
📄 Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications 📓 Journal: Signa+4
📄 Multi-omics and artificial intelligence for precision drug discovery and potential clinical applications 📓 Journal: Signal Transduction and Targeted Therapy (🔥I.F.=81.2) 🗓 Publish year: 2026 🧑‍💻Authors: Yuqing Liu, Kun Zhu, Weijun Peng, ... 🏢University: Central South University, China 📎 Study the paper 📲Channel: @Bioinformatics #review #multi_omics #ai #drug
2 518
6
📄 Comparative review of artificial intelligence for transcriptomic biomarker discovery in coronavirus disease 2019 (COVID-19
📄 Comparative review of artificial intelligence for transcriptomic biomarker discovery in coronavirus disease 2019 (COVID-19) 📔 Journal: Briefings in Bioinformatics (I.F.=7.7) 🗓 Publish year: 2026 🧑‍💻Authors: Li Ying Khoo , Sarinder Kaur Dhillon 🏢University: Universiti Malaya, Malaysia 📎 Study the paper 📲Channel: @Bioinformatics #review #covid_19 #biomarker #transcriptomic #ai
3 037
7
🎥 Computational biology in the age of AI agents 🎞 Watch 📲Channel: @Bioinformatics #video #ai #agent
3 517
8
📃 Training biologists in Unix command-line skills 🗓 Publish year: 2026 📗Journal: PLOS Computational Biology (I.F. = 3.7) �
📃 Training biologists in Unix command-line skills 🗓 Publish year: 2026 📗Journal: PLOS Computational Biology (I.F. = 3.7) 🧑‍💻Authors: Lucie Khamvongsa-Charbonnier,Robert Aboukhalil,Hélène Chiapello, ... 🏢Universities: Institut Français de Bioinformatique (IFB) & Université Paris Cité, France - OMGenomics Labs, USA 📎 Study paper 📲Channel: @Bioinformatics #unix #linux #command_line
3 692
9
📄 AI-driven advances in protein structure, dynamics, interactions and ligand interactions for understudied families 📘 Journ
📄 AI-driven advances in protein structure, dynamics, interactions and ligand interactions for understudied families 📘 Journal: BioData Mining (I.F.=7.9) 🗓Publish year: 2026 🧑‍💻Authors: Shivani Singh, Ruhani Singh & Sunita Sharma 🏢University: Sharda University, India 📎 Study the paper 📲Channel: @Bioinformatics #review #protein #ai #ppi #AlphaFold
3 734
10
📢 Registration is open for One Month International Bioinformatics Workshop 📌 🧬 Genomes: Sequence to Insights 🏢 Organized
📢 Registration is open for One Month International Bioinformatics Workshop 📌 🧬 Genomes: Sequence to Insights 🏢 Organized by: Decode Life 📅 Duration: 27 June –  July 23, 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 Genomics ✨ Key Features: • Video recording available • Meaningful networking • E-certificate 📲Channel: @Bioinformatics
3 130
11
📃 Temporal network analysis in systems biology: concepts, inference, and validation 📕 Journal: Frontiers in Bioinformatics
📃 Temporal network analysis in systems biology: concepts, inference, and validation 📕 Journal: Frontiers in Bioinformatics (I.F.=3.6) 🗓Publish year: 2026 🧑‍💻Authors: Abir Khazaal, Fatemeh Vafaee 🏢University: University of New South Wales, Sydney, Australia 📎 Study the paper 📲Channel: @Bioinformatics #review #temporal #systems_biology
3 284
12
📄 Network Methods for Diagonal Integration of Unpaired Single-Cell Multi-Omics Data: A Review 📙 Journal: Bioinformatics (I.+1
📄 Network Methods for Diagonal Integration of Unpaired Single-Cell Multi-Omics Data: A Review 📙 Journal: Bioinformatics (I.F.=5.5) 🗓Publish year: 2026 🧑‍💻Authors: Marcello Barylli , Joyaditya Saha , Tineke E Buffart, ... 🏢Universities: University of Amsterdam & Amsterdam University Medical Centers & Amsterdam Movement Sciences (AMS) Institute,, The Netherlands 📎 Study the paper 📲Channel: @Bioinformatics #review #single_cell #multi_omics
3 179
13
🎞 CRISPR Bioinformatics 💥 Dr. Jacob Corn, University of California, Berkeley 📹 Watch 📲Channel: @Bioinformatics #video #crispr
3 083
14
📑 Machine Learning and Deep Learning Frameworks for Human–Virus Protein–Protein Interaction Prediction: Emerging Architectur
📑 Machine Learning and Deep Learning Frameworks for Human–Virus Protein–Protein Interaction Prediction: Emerging Architectures, Methods, Benchmarks, and Challenges 🗓Publish year: 2026 🧑‍💻Authors: Subhadeep Basu , Dipanwita Adhikary , Kuntal Ghosh, ... 🏢Universities: Amity University & Indian Statistical Institute & Indian Institute of Technology Dhanbad, India - Complutense University, Spain 📎 Study the paper 📲Channel: @Bioinformatics #review #machine_learning #deep_learning #ppi #virus
3 406
15
📃 Implementing generative artificial intelligence in precision oncology: safety, governance, and significance 📔 Journal: Jo
📃 Implementing generative artificial intelligence in precision oncology: safety, governance, and significance 📔 Journal: Journal of Hematology & Oncology (🔥I.F.=40.04) 🗓Publish year: 2026 🧑‍💻Authors: Ryuji Hamamoto, Takafumi Koyama, Satoshi Takahashi, ... 🏢Universities: National Cancer Center Research Institute & The University of Tokyo & National Cancer Center Hospital, Japan 📎 Study the paper 📲Channel: @Bioinformatics #review #oncology #ai #llm
2 868
16
📑 Vibe Coding Omics Data Analysis Applications 📗 Journal: Journal of Proteome Research (I.F.=3.6) 🗓Publish year: 2026 🧑‍�
📑 Vibe Coding Omics Data Analysis Applications 📗 Journal: Journal of Proteome Research (I.F.=3.6) 🗓Publish year: 2026 🧑‍💻Author: Jesse G. Meyer 🏢University: Department of Computational Biomedicine, Cedars Sinai Medical Center, United States 📎 Study the paper 📲Channel: @Bioinformatics #review #vibe_coding #ai
3 291
17
🚀 Join MSSE 2026 – Molecular Simulations for Subsurface Engineering 📅 1–4 September 2026 | 💻 Online | 🏛 The University of
🚀 Join MSSE 2026 – Molecular Simulations for Subsurface Engineering 📅 1–4 September 2026 | 💻 Online | 🏛 The University of Manchester Be part of the first international summer school dedicated to Molecular Simulations for Subsurface Engineering and learn from world-renowned scientists through lectures, tutorials, and hands-on training. Topics include: ✅ Molecular simulation fundamentals ✅ Fluid-rock interactions & porous media transport ✅ Simulation setup, validation & best practices ✅ Applications in gas storage and energy systems 🎓 Ideal for graduate students, early-career researchers, and professionals seeking to expand their expertise in this rapidly growing field. 🌐 Apply now: https://www.msse-hub.com/ 📲Channel: @Bioinformatics
2 697
18
📄 Learnable protein representations in computational biology for predicting drug-target affinity 📘 Journal: Journal of Chem+5
📄 Learnable protein representations in computational biology for predicting drug-target affinity 📘 Journal: Journal of Cheminformatics (I.F.=5.7) 🗓Publish year: 2026 🧑‍💻Authors: Rachit Kumar, Joseph Romano & Marylyn Ritchie 🏢University: University of Pennsylvania & Medical University of South Carolina, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #protein #drug #affinity
3 351
19
📃 Unfreezing structural biology for drug discovery 📕 Journal: Nature Chemical Biology (I.F.=13.7) 🗓Publish year: 2026 🧑‍�
📃 Unfreezing structural biology for drug discovery 📕 Journal: Nature Chemical Biology (I.F.=13.7) 🗓Publish year: 2026 🧑‍💻Authors: Timothy R. Stachowski & Marcus Fischer 🏢University: St. Jude Children’s Research Hospital, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #drug #structural_biology
2 450
20
📑 Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy 📙 Journal: Advanced Science (I.F.=1+4
📑 Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy 📙 Journal: Advanced Science (I.F.=14.1) 🗓Publish year: 2026 🧑‍💻Authors: Xinchao Wu, Mengtao Sun, Lusheng Li, ... 🏢University: University of Nebraska Medical Center, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #ai #llm #cancer #immunotherapy
2 950