📽 Large Language Models in Computational Biology – A Primer
🎞 Watch
📲Channel: @Bioinformatics
#video #llm
🎞 Watch
📲Channel: @Bioinformatics
#video #llm
YouTube
Large Language Models in Computational Biology – A Primer
SPEAKER: Shaoheng Liang is a computer scientist/bioinformatician and a Lane Fellow at Carnegie Mellon University in the Department of Computational Biology, working with Dr. Jian Ma. Before that, he worked at NuProbe USA, Inc., a company innovating cutting…
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📄 A comprehensive survey of gene co-expression network analysis: methods, tools, challenges, and future directions
📔 Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F.=2)
🗓Publish year: 2025
🧑💻Authors: Pallabi Patowary, Dhruba K. Bhattacharyya & Jugal Kumar Kalita
🏢Universities: Golaghat Engineering College & Tezpur University, India - University of Colorado, USA
📎 Study the paper
📲Channel: @Bioinformatics
#review #co_expression #gene
📔 Journal: Network Modeling Analysis in Health Informatics and Bioinformatics (I.F.=2)
🗓Publish year: 2025
🧑💻Authors: Pallabi Patowary, Dhruba K. Bhattacharyya & Jugal Kumar Kalita
🏢Universities: Golaghat Engineering College & Tezpur University, India - University of Colorado, USA
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📲Channel: @Bioinformatics
#review #co_expression #gene
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📃 Proteomics research in aging: a bibliometric and visualized analysis of evolution and emerging trends (1998–2024 and early 2025)
📘 Journal: Biogerontology (I.F.=4.1)
🗓Publish year: 2026
🧑💻Authors: Yuyuan Gao, Yang Yang, Xinli Xue, ...
🏢University: Hospital of Zhengzhou University, China
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📲Channel: @Bioinformatics
#review #protein #aging
📘 Journal: Biogerontology (I.F.=4.1)
🗓Publish year: 2026
🧑💻Authors: Yuyuan Gao, Yang Yang, Xinli Xue, ...
🏢University: Hospital of Zhengzhou University, China
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📲Channel: @Bioinformatics
#review #protein #aging
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📹 Single-cell and spatial metabolomics online day
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📲Channel: @Bioinformatics
#video #single_cell #spatial #metabolomics
🎞 Watch
📲Channel: @Bioinformatics
#video #single_cell #spatial #metabolomics
YouTube
Single-cell and spatial metabolomics online day 2025
Enjoy the videos and music you love, upload original content, and share it all with friends, family, and the world on YouTube.
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🌍 Registration is open for the One-Month Comprehensive International Bioinformatics Workshop by Decode Life
💥 Computational Immunology💥
📅 Duration: 10 January - 3 February 2026
💲 Fees: ₹1300 for Indian Participants / $30 for International Participants
🔗 Registration Link:
https://decodelife.co.in
✨ Key Features:
✅ 22 sessions with approximately 35 hours of learning
✅ E-Certificate of Participation
✅ Video recordings and relevant material shared after each session
❔ FAQs: https://decodelife.co.in/faq/
📲Channel: @Bioinformatics
💥 Computational Immunology💥
📅 Duration: 10 January - 3 February 2026
💲 Fees: ₹1300 for Indian Participants / $30 for International Participants
🔗 Registration Link:
https://decodelife.co.in
✨ Key Features:
✅ 22 sessions with approximately 35 hours of learning
✅ E-Certificate of Participation
✅ Video recordings and relevant material shared after each session
❔ FAQs: https://decodelife.co.in/faq/
📲Channel: @Bioinformatics
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📑 Applications of large-scale artificial intelligence models in bioinformatics
📕 Journal: Quantitative Biology (I.F.=1.4)
🗓Publish year: 2025
🧑💻Authors: Mingjing Li, Qichen Shang, Ziyang Dong, ...
🏢University: SichuanUniversity, China
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📲Channel: @Bioinformatics
#review #ai #llm
📕 Journal: Quantitative Biology (I.F.=1.4)
🗓Publish year: 2025
🧑💻Authors: Mingjing Li, Qichen Shang, Ziyang Dong, ...
🏢University: SichuanUniversity, China
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📲Channel: @Bioinformatics
#review #ai #llm
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📃 AI-driven multi-omics integration in precision oncology: bridging the data deluge to clinical decisions
📓 Journal: Clinical and Experimental Medicine (I.F.=3.5)
🗓Publish year: 2026
🧑💻Authors: Chou-Yi Hsu, Shavan Askar, Samer Saleem Alshkarchy, ...
🏢University: Chia Nan University of Pharmacy and Science, Taiwan - Erbil Polytechnic University & Al-Qasim Green University & The Islamic University, Iraq - Siksha ‘O’ Anusandhan (Deemed to Be University), India
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📲Channel: @Bioinformatics
#review #ai #omics #oncology
📓 Journal: Clinical and Experimental Medicine (I.F.=3.5)
🗓Publish year: 2026
🧑💻Authors: Chou-Yi Hsu, Shavan Askar, Samer Saleem Alshkarchy, ...
🏢University: Chia Nan University of Pharmacy and Science, Taiwan - Erbil Polytechnic University & Al-Qasim Green University & The Islamic University, Iraq - Siksha ‘O’ Anusandhan (Deemed to Be University), India
📎 Study the paper
📲Channel: @Bioinformatics
#review #ai #omics #oncology
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📑 A comprehensive systematic literature review of multiple sequence alignment algorithms
📕Journal: Discover Computing
🗓Publish year: 2026
🧑💻Authors: Jeneffer Sabonsolin & Demelo Lao
🏢Universities: FEU Institute of Technology & University of the Philippines Cebu, Philippines
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📲Channel: @Bioinformatics
#review #sequence_alignment
📕Journal: Discover Computing
🗓Publish year: 2026
🧑💻Authors: Jeneffer Sabonsolin & Demelo Lao
🏢Universities: FEU Institute of Technology & University of the Philippines Cebu, Philippines
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📲Channel: @Bioinformatics
#review #sequence_alignment
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📄 Harnessing Artificial Intelligence for Genomic Variant Prediction: Advances, Challenges, and Future Directions
📗 Journal: GigaScience
🗓Publish year: 2026
🧑💻Authors: Indah Pakpahan, Mentari Sihombing, Haohan Liu,...
🏢Universities: Dalian University of Technology, China - The University of New South Wales, Australia
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📲Channel: @Bioinformatics
#review #variant #genomic #ai
📗 Journal: GigaScience
🗓Publish year: 2026
🧑💻Authors: Indah Pakpahan, Mentari Sihombing, Haohan Liu,...
🏢Universities: Dalian University of Technology, China - The University of New South Wales, Australia
📎 Study the paper
📲Channel: @Bioinformatics
#review #variant #genomic #ai
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📃Foundation Models in Omics Research: A Comprehensive Survey
🗓Publish year: 2026
🧑💻Authors: Haozhe Liu, Wenhao Cai, Yizheng Sun
🏢University: The University of Manchester, United Kingdom
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📲Channel: @Bioinformatics
#review #llm #foundation_model #omics #ai
🗓Publish year: 2026
🧑💻Authors: Haozhe Liu, Wenhao Cai, Yizheng Sun
🏢University: The University of Manchester, United Kingdom
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📲Channel: @Bioinformatics
#review #llm #foundation_model #omics #ai
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📄 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
🏢Universities: University of Pennsylvania & Medical University of South Carolina, USA
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📲Channel: @Bioinformatics
#review #drug #target #protein #representation
📔 Journal: Journal of Cheminformatics (I.F.=5.7)
🗓Publish year: 2026
🧑💻Authors: Rachit Kumar, Joseph Romano & Marylyn Ritchie
🏢Universities: University of Pennsylvania & Medical University of South Carolina, USA
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📲Channel: @Bioinformatics
#review #drug #target #protein #representation
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📃Navigating the Computational Landscape for Drug Repurposing
📘 Journal: Annual Review of Pharmacology and Toxicology (I.F.=13.1)
🗓Publish year: 2026
🧑💻Authors: Andrea Álvarez-Pérez, Lucía Prieto-Santamaría, Ana I. Casas,...
🏢University: Universidad Politécnica de Madrid, Spain - Maastricht University, The Netherlands - University Clinic Essen, Germany - Harvard Medical School, USA
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📲Channel: @Bioinformatics
#review #drug #repurposing
📘 Journal: Annual Review of Pharmacology and Toxicology (I.F.=13.1)
🗓Publish year: 2026
🧑💻Authors: Andrea Álvarez-Pérez, Lucía Prieto-Santamaría, Ana I. Casas,...
🏢University: Universidad Politécnica de Madrid, Spain - Maastricht University, The Netherlands - University Clinic Essen, Germany - Harvard Medical School, USA
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📲Channel: @Bioinformatics
#review #drug #repurposing
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📹 Leveraging Genomic, Preclinical, and Drug Response Data in the Age of AI
💥Dr. Michael Boice from Certis Oncology
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📲Channel: @Bioinformatics
#video #genomic #drug #ai
💥Dr. Michael Boice from Certis Oncology
🎞 Watch
📲Channel: @Bioinformatics
#video #genomic #drug #ai
YouTube
Leveraging Genomic, Preclinical, and Drug Response Data in the Age of AI
Join Dr. Michael Boice from Certis Oncology for a discussion and demonstration of how artificial intelligence can improve preclinical decision-making in cancer research.
Molecular profiling and other tumor model characterization data are becoming increasingly…
Molecular profiling and other tumor model characterization data are becoming increasingly…
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🚀 AI-Powered Single-Cell RNA-seq — 7-Minute Runtime Report
How can AI streamline end-to-end single-cell RNA analysis?
In this session, we demonstrate how Drylab enables:
🔬 End-to-end single-cell RNA workflow
• Data preprocessing
• Advanced analysis
• Automated reporting
💬 Natural-language chat to explore and interpret results
💻 Full code environment for transparency
📊 Clear, reproducible outputs ready for review and sharing
📖 Read the full case study:
https://thedrylab.com/use-case/comprehensive-multi-organ-endothelial-cell-atlas-analysis-and-liver-specific
🧪 Explore the full chat + code environment:
https://app.thedrylab.com/share/wLRjnJxzWVYz
📲Channel: @Bioinformatics
How can AI streamline end-to-end single-cell RNA analysis?
In this session, we demonstrate how Drylab enables:
🔬 End-to-end single-cell RNA workflow
• Data preprocessing
• Advanced analysis
• Automated reporting
💬 Natural-language chat to explore and interpret results
💻 Full code environment for transparency
📊 Clear, reproducible outputs ready for review and sharing
📖 Read the full case study:
https://thedrylab.com/use-case/comprehensive-multi-organ-endothelial-cell-atlas-analysis-and-liver-specific
🧪 Explore the full chat + code environment:
https://app.thedrylab.com/share/wLRjnJxzWVYz
📲Channel: @Bioinformatics
Thedrylab
Multi-Organ Endothelial Cell Atlas Analysis and Liver-Specific Therapeutic Target Discovery - My Framer Site
Bring together 300+ bioinformatic tools into one AI-automated platform.
Drylab is AI for biomedical research, built to streamline complex biological data analysis—from weeks to minutes. We design Drylab for both no-code users and expert bioinformaticians.
Drylab is AI for biomedical research, built to streamline complex biological data analysis—from weeks to minutes. We design Drylab for both no-code users and expert bioinformaticians.
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📑 Federated learning frameworks: quality and interoperability for biomedical research
📙 Journal: NAR Genomics and Bioinformatics (I.F.=2.8)
🗓Publish year: 2026
🧑💻Authors: María Chavero-Diez, Carles Hernandez-Ferrer, Laia Codó, ...
🏢Universities: Barcelona Supercomputing Center (BSC) & University of Barcelona, Spain
📎 Study the paper
📲Channel: @Bioinformatics
#review #federated_learning
📙 Journal: NAR Genomics and Bioinformatics (I.F.=2.8)
🗓Publish year: 2026
🧑💻Authors: María Chavero-Diez, Carles Hernandez-Ferrer, Laia Codó, ...
🏢Universities: Barcelona Supercomputing Center (BSC) & University of Barcelona, Spain
📎 Study the paper
📲Channel: @Bioinformatics
#review #federated_learning
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📃 Systematic review of transformers, graph neural networks, and federated learning in oncology: Applications, challenges, and pathways to clinical translation
Journal: Informatics in Medicine Unlocked
🗓Publish year: 2026
🧑💻Authors: Sasan Shafiei, Atousa Saleknezhad, Erfan Hashemi , ...
🏢Universities: Shiraz University of Medical Sciences & Babol University of Medical Sciences & Tehran University of Medical Sciences & Jahrom University of Medical Sciences, Iran
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📲Channel: @Bioinformatics
#review #transformers #oncology #deep_learning
Journal: Informatics in Medicine Unlocked
🗓Publish year: 2026
🧑💻Authors: Sasan Shafiei, Atousa Saleknezhad, Erfan Hashemi , ...
🏢Universities: Shiraz University of Medical Sciences & Babol University of Medical Sciences & Tehran University of Medical Sciences & Jahrom University of Medical Sciences, Iran
📎 Study the paper
📲Channel: @Bioinformatics
#review #transformers #oncology #deep_learning
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