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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 17 509 subscribers, ranking 1 359 in the Medicine category and 23 113 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 17 509 subscribers.

According to the latest data from 06 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 116 over the last 30 days and by 6 over the last 24 hours, overall reach remains high.

  • Verification status: Not verified
  • Engagement rate (ER): The average audience engagement rate is 10.57%. Within the first 24 hours after publication, content typically collects 3.14% reactions from the total number of subscribers.
  • Post reach: On average, each post receives 1 850 views. Within the first day, a publication typically gains 550 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 07 October, 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.

17 509
Subscribers
+624 hours
+197 days
+11630 days
Posts Archive
📑 Graph designs for deep learning–based multi-omics integration 📓 Journal: Briefings in Bioinformatics (I.F.=7.3) 🗓 Publis
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📑 Graph designs for deep learning–based multi-omics integration 📓 Journal: Briefings in Bioinformatics (I.F.=7.3) 🗓 Publish year: 2026 🧑‍💻Authors: Muhtasim Noor Alif, Khandakar Tanvir Ahmed, Sudipto Baul, Wei Zhang 🏢University: University of Central Florida, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #multiomics #graph #gnn #deeplearning

📹 Biomarkers from Bench to Bedside: Tools, Targets, and Translational Insights 🎞 Watch 📲Channel: @Bioinformatics #video #biomarker

📃 Multi-omics integration of proteomics and metabolomics in pediatric health and disease 📘 Journal: Communications Medicine
📃 Multi-omics integration of proteomics and metabolomics in pediatric health and disease 📘 Journal: Communications Medicine (I.F.=7.4) 🗓 Publish year: 2026 🧑‍💻Authors: Andrei M. Matusa, David Tweddell, Mark Daley, David B. O’Gorman, Douglas D. Fraser, ... 🏢Universities: Western University & Children’s Health Research Institute, Canada 📎 Study the paper 📲Channel: @Bioinformatics #review #multiomics #proteomics #metabolomics

📑 Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects 📗 Journal: Signal Trans
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📑 Artificial intelligence in biomarker discovery for diseases: diagnostic and therapeutic prospects 📗 Journal: Signal Transduction and Targeted Therapy (🔥I.F.=81.2) 🗓 Publish year: 2026 🧑‍💻Authors: Rasit Dinc, Nurittin Ardic 🏢Universities: INVAMED Medical Innovation Institute, USA - Med-International UK Health Agency Ltd., UK 📎 Study the paper 📲Channel: @Bioinformatics #review #ai #biomarker

📃 Artificial intelligence for precision gene therapy: emerging technologies, clinical applications, and future directions 📘
📃 Artificial intelligence for precision gene therapy: emerging technologies, clinical applications, and future directions 📘 Journal: Frontiers in Genetics (I.F.=3.0) 🗓 Publish year: 2026 🧑‍💻Authors: Govinder Flora, Abhinay Thakur 🏢University: Lovely Professional University, India 📎 Study the paper 📲Channel: @Bioinformatics #review #ai #gene_therapy #genomics

📄 Prospecting the protein design landscape 📙 Journal: FEBS Letters (I.F.=3.1) 🗓 Publish year: 2026 🧑‍💻Authors: Jakob R.
📄 Prospecting the protein design landscape 📙 Journal: FEBS Letters (I.F.=3.1) 🗓 Publish year: 2026 🧑‍💻Authors: Jakob R. Riccabona, Katharina T. Stonig, Jens Meiler, Clara T. Schoeder, Monica L. Fernández-Quintero 🏢Universities: Leipzig University, Germany - Vanderbilt University, USA - University of Copenhagen, Denmark - The Scripps Research Institute, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #proteindesign #proteinengineering #ai #computationalbiology

📃 Decoding the cancer microbiome: multi-omics, AI, and translational opportunities 📕 Journal: Genome Biology (I.F.=9.2) 🗓
📃 Decoding the cancer microbiome: multi-omics, AI, and translational opportunities 📕 Journal: Genome Biology (I.F.=9.2) 🗓 Publish year: 2026 🧑‍💻Authors: Yuhan Sun, Olivia J. Cheng, Anjun Ma, Samia Shabnaz, Xuelian Huang, Jing Zhao, Aik Choon Tan, Qin Ma 🏢Universities: The Ohio State University & University of Utah, USA 📎 Study the paper 📲Channel: @Bioinformatics #review #cancer #microbiome #multiomics #ai #genomics

🧬 1000+ Bioinformatics multiple-choice questions (Free Online questions with answers) 🔹 Sequence Analysis & Alignment 🔹 BLAST & Biological Databases 🔹 Genomics & Proteomics 🔹 Structural Bioinformatics 🔹 Phylogenetics & Computational Biology 🔗 Access the Bioinformatics MCQs 📲Channel: @Bioinformatics #exam #MCQ #ComputationalBiology #Genomics #Proteomics

📃 From prior knowledge to data-informed models: a review of Boolean network inference 📓 Journal: Briefings in Bioinformatics (I.F.=7.3) 🗓 Publish year: 2026 🧑‍💻 Authors: Pierre Klemmer, Ahmed Abdelmonem Hemedan, Reinhard Schneider, Marek Ostaszewski 🏢 Universities: University of Luxembourg & Centre for Systems Biomedicine (LCSB) & Luxembourg Institute of Health (LIH), Luxembourg 📎 Study the paper: https://doi.org/10.1093/bib/bbag499 ⚡️Channel: @ComplexNetworkAnalysis #review #systemsbiology #boolean_network

📄 Mathematical Oncology: Models, Methods, and Clinical Applications 📘 Journal: Tatra Mountains Mathematical Publications 🗓
📄 Mathematical Oncology: Models, Methods, and Clinical Applications 📘 Journal: Tatra Mountains Mathematical Publications 🗓 Publish year: 2026 🧑‍💻Author: Peter Zigman 🏢University: Slovak Academy of Sciences, Bratislava, Slovakia 📎 Study the paper 📲Channel: @Bioinformatics #review #matematics #oncology #ai

📃 Deep Learning-Assisted Prioritization of Candidate Drug Targets in Tumors Using Spatial Multi-Omics: A Review 📕 Journal:
📃 Deep Learning-Assisted Prioritization of Candidate Drug Targets in Tumors Using Spatial Multi-Omics: A Review 📕 Journal: Biology (I.F.=4.3) 🗓 Publish year: 2026 🧑‍💻 Authors: Yuxian Liu, Xueyan Zhou, Junyuan Zhang, Guochao Liu, Yanni Cao 🏢 Universities: Anhui University of Science & Technology, Huainan, China — State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining, Anhui University of Science & Technology, China 📎 Study the paper 📲 Channel: @Bioinformatics #review #ai #spatialmultiomics #drugdiscovery

📢 REGISTRATION IS OPEN! 🚀 🧬🔥 Data Science and Machine Learning with Python – 12 EDITION (2026) 🔥🧬 One Month Internation
📢 REGISTRATION IS OPEN! 🚀 🧬🔥 Data Science and Machine Learning with Python – 12 EDITION (2026) 🔥🧬 One Month International Bioinformatics Workshop 🏢 Organized by: Decode Life 📅 Duration: 26 September –  22 October 2026 ⏰ Time: 7:30 PM IST (GMT +5:30) ✍️ Registration Link: 🔗 https://decodelife.co.in ❓ FAQ: 🔗 https://decodelife.co.in/faq ✨ Key Highlights: • Live interactive online sessions • Guidance from international & industry experts • Video recordings of all sessions • Meaningful networking opportunities • E-Certificate on successful completion 📲 Channel: @Bioinformatics

📽 Agentic Genomics 🎞 Watch 📲 Channel: @Bioinformatics #video #agentic_ai #genomics

📑 AI-Driven Genotype-Phenotype Modeling 📔 Journal: Frontiers in Genetics (I.F.=3.0) 🗓 Publish year: 2026 🧑‍💻 Authors: Ma
📑 AI-Driven Genotype-Phenotype Modeling 📔 Journal: Frontiers in Genetics (I.F.=3.0) 🗓 Publish year: 2026 🧑‍💻 Authors: Mahabub Mallik, Sahid Afrid Mollick 🏢 Universities/Institutions: The West Bengal National University of Juridical Sciences, Kolkata, India — Anthropological Survey of India, Kolkata, India 📎 Study the paper: https://doi.org/10.3389/fgene.2026.1909167 📲 Channel: @Bioinformatics #review #ai #genomics #cancer #vaccines

📃 Artificial intelligence for genomic science: a scoping review of concepts, architectures, applications, and open challenge
📃 Artificial intelligence for genomic science: a scoping review of concepts, architectures, applications, and open challenges 📕 Journal: Frontiers in Bioinformatics (I.F. = 3.6) 🗓 Publish year: 2026 🧑‍💻Authors: Wellington Francisco Rodrigues, Mariana T. D. Parise, Doglas Parise, ... 🏢Universities: Universidade Federal de Minas Gerais & Federal University of Uberlândia & University Center of Mineiros (Unifimes), Brazil - Amsterdam University Medical Centers, Netherlands 📎 Study the paper 📲Channel: @Bioinformatics #review #ai #genomics

📄 Software engineering for reproducible pipeline development in bioinformatics 📗 Journal: Frontiers in Bioinformatics (I.F.
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📄 Software engineering for reproducible pipeline development in bioinformatics 📗 Journal: Frontiers in Bioinformatics (I.F.=3.6) 🗓 Publish year: 2026 🧑‍💻 Authors: Daniel Pérez-Rodríguez, Alba Nogueira-Rodríguez, Jorge Vieira, Cristina P. Vieira, Daniel Glez-Peña, Hugo López-Fernández 🏢 Universities: Universidade de Vigo, Spain - Galicia Sur Health Research Institute (IIS Galicia Sur), Spain - Universidade do Porto & i3S, Portugal - Instituto de Biologia Molecular e Celular (IBMC), Portugal 📎 Study the paper: http://dx.doi.org/10.3389/fbinf.2026.1824590 📲 Channel: @Bioinformatics #review #reproducibility #pipelines #software_engineering

📹 Agentic AI in Genomics 🎞 Watch 📲Channel: @Bioinformatics #video #agentic_ai

📃 A Survey of Artificial Intelligence for Protein Dynamics 🗓 Publish year: 2026 🧑‍💻Authors: Haocheng Tang, Liang Shi, Ya-
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📃 A Survey of Artificial Intelligence for Protein Dynamics 🗓 Publish year: 2026 🧑‍💻Authors: Haocheng Tang, Liang Shi, Ya-Shi Zhang, Xixian Liu, Jian Tang, Jiarui Lu 🏢Universities: University of Pittsburgh, Peking University, Université de Montréal / Mila - Quebec AI Institute, HEC Montréal 📎 Study the paper 📲Channel: @Bioinformatics #review #ai #protein_dynamics #computational_biology #molecular_dynamics

🧬 EDUGENE IS HIRING — BECOME A TUTOR! 🚀 Are you an expert in life sciences, bioinformatics, or data analytics? Share your r
🧬 EDUGENE IS HIRING — BECOME A TUTOR! 🚀 Are you an expert in life sciences, bioinformatics, or data analytics? Share your real-world knowledge with the next generation of scientists! 🔬 Edugene is building a new way for students to learn — directly from people who work in the field, not outdated notes. 💡 🎓 We’re looking for tutors in: 🧬 Computational Biology & Bioinformatics 🧪 Synthetic Biology 🔬 Structural Biology 🌱 Agrobiotechnology 📊 Data Analytics & Data Science 🧫 Biotechnology & Life Sciences …and other life-science fields you know well enough to teach! ✨ As an Edugene tutor: • 👨‍🏫 Teach what you know best • 📚 Create your own courses • 🕐 Work on your own terms • 💰 Get paid for every course you deliver Whether you're a researcher, PhD student, postdoc, scientist, industry professional, or academic, we'd love to hear from you. 📩 Send your CV + area of expertise to: 👉 support@edugene.org 🚀 Know a brilliant tutor? Forward this! 📲 Channel: @Bioinformatics

📃 Artificial Intelligence in genomics: a comprehensive survey of methods, resources, challenges, and prospects 📙 Journal: B
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📃 Artificial Intelligence in genomics: a comprehensive survey of methods, resources, challenges, and prospects 📙 Journal: Briefings in Bioinformatics (I.F.=7.3) 🗓 Publish year: 2026 🧑‍💻 Authors: Md Ishtyaq Mahmud, Tania Banerjee 🏢 University: University of Houston, USA 📎 Study the paper 📲 Channel: @Bioinformatics #review #ai #genomics #machine_learning