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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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📈 Аналітичний огляд Telegram-каналу Bioinformatics

Канал Bioinformatics (@bioinformatics) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 17 509 підписників, посідаючи 1 354 місце в категорії Медицина та 23 127 місце у регіоні Індія.

📊 Показники аудиторії та динаміка

З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 17 509 підписників.

За останніми даними від 06 жовтня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на 116, а за останні 24 години на 6, загальне охоплення залишається високим.

  • Статус верифікації: Не верифікований
  • Рівень залученості (ER): Середній показник залученості аудиторії становить 10.57%. Протягом перших 24 годин після публікації контент зазвичай збирає 3.14% реакцій від загальної кількості підписників.
  • Охоплення публікацій: В середньому кожен допис отримує 1 850 переглядів. Протягом першої доби публікація в середньому набирає 550 переглядів.
  • Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 5.
  • Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як journal, author, bioinformatic, drug, cancer.

📝 Опис та контентна політика

Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“Bioinformatics, Computational Biology & Systems Biology Feel free to send your sharing, questions, requests, advertisements, news, declerations, etc. to channel admin @BioinfAssistance”

Завдяки високій частоті оновлень (останні дані отримано 07 жовтня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Медицина.

17 509
Підписники
+624 години
+197 днів
+11630 днів
Архів дописів
📑 Graph designs for deep learning–based multi-omics integration 📓 Journal: Briefings in Bioinformatics (I.F.=7.3) 🗓 Publis
+1
📑 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
+5
📑 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.
+1
📄 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-
+1
📃 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