Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“„ Network-based multi-omics integrative analysis methods in drug discovery: a systematic review

πŸ“— Journal: BioData Mining (I.F.=4)
πŸ—“
Publish year: 2025

πŸ§‘β€πŸ’»Authors: Wei Jiang, Weicai Ye, Xiaoming Tan, ...
🏒Universities: Hubei University- Sun Yat-sen University, China

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⚑️Channel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
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πŸ‘Ύ Step Into the Future of Biomedicine with CRABS 2025!
πŸ’₯Free summer school at Ukraine

The Summer School on Computational Research Advances in Biomedical Sciences (CRABS) is a week-long international training program in bioinformatics and computational biomedicine, taking place in Kyiv, Ukraine, from August 10 to 17, 2025. The school is co-organized by the Kyiv School of Economics and the NGO Genetically Modified Organization.

CRABS brings together students, early-career researchers, and professionals eager to bridge the gap between data science and the life sciences. The program begins with foundational lectures introducing essential bioinformatics concepts, tools, and methods. Participants then engage in hands-on training through one of several specialized tracks, including:

β–ͺ️ Omics Data Analysis
β–ͺ️ Drug Discovery & AI
β–ͺ️ Disease Research & Diagnostics

The faculty features researchers from leading academic and research institutions across Europe and America, offering a unique combination of academic excellence and real-world experience. Participants who successfully complete the course will receive 3 ECTS credits, officially issued by the Kyiv School of Economics.

πŸ”— Learn more and apply: https://crabs.kse.ua
🚨 Registration deadline: April 15, 2025

Apply now and spend your summer exploring bioinformatics in the heart of Ukraine!

πŸ“²Channel: @Bioinformatics
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πŸ“ƒ A Comprehensive Guide to Validating Bioinformatics Findings: From In Silico to In Vitro

πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Tianyang Wang, Silin Chen, Yunze Wang, ... (17 authros)
🏒Universities: (University of Liverpool, UK), (Indiana University, USA), (Simon Fraser University, Canada), (Kyoto University, Japan), ...

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πŸ“²Channel: @Bioinformatics
#review #gene #protein #ai #multi_omics #NGS
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πŸ“– Applied Bioinformatics
πŸ’₯Free Online Book from Oregon State

🌐 Study

πŸ“²Channel: @Bioinformatics
#book #oregon
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πŸ“‘ A review on the applications of Transformer-based language models for nucleotide sequence analysis

πŸ“•Journal: Computational and Structural Biotechnology Journal (I.F.=4.5)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Nimisha Ghosh, Daniele Santoni, Indrajit Saha, Giovanni Felici
🏒Universities: Shiv Nadar University, India - National Research Council of Italy, Italy -

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πŸ“²Channel: @Bioinformatics
#review #chatgpt #llm #dna #sequence
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πŸ“„Multimodal deep learning approaches for precision oncology: a comprehensive review

πŸ““ Journal: Briefings in Bioinformatics (I.F.=6.8)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Huan Yang, Minglei Yang, Jiani Chen, ...
🏒Universities: University of Electronic Science and Technology of China - The First Affiliated Hospital of Zhengzhou University, China

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πŸ“²Channel: @Bioinformatics
#review #multimodal #deep_learning #oncology
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πŸ“„ Pharmacogenetics: Opportunities for the All of Us Research Program and Other Large Data Sets to Advance the Field

πŸ“” Journal: Annual Review of Pharmacology and Toxicology (I.F.=11.2)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Philip E. Empey, Jason H. Karnes, and Julie A. Johnson
🏒Universities: University of Pittsburgh,University of Arizona, The Ohio State University, USA πŸ‡ΊπŸ‡Έ

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πŸ“²Channel: @Bioinformatics
#review #pharmacogenetics #pharmacogenomics #genomics
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πŸ“ƒ Advances and Mechanisms of RNA–Ligand Interaction Predictions

πŸ“˜ Journal: Life (I.F.=3.2)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Chen Zhuo,Chengwei Zeng,Haoquan Liu, ...
🏒Universities: Central China Normal University & Henan University of Science and Technology, China

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πŸ“²Channel: @Bioinformatics
#review #rna_ligand #prediction
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πŸ“‘ A comprehensive review of deep learning-based approaches for drug–drug interaction prediction

πŸ“•Journal: Briefings in Functional Genomics (I.F.=2.5)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors:Yan Xia, An Xiong, Zilong Zhang, ...
🏒Universities: Hainan University & University of Electronic Science and Technology of China, China

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πŸ“²Channel: @Bioinformatics
#review #deep_learning #drug
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πŸ“ƒ Algorithms and tools for data-driven omics integration to achieve multilayer biological insights: a narrative review

πŸ“— Journal: Journal of Translational Medicine (I.F.=6.1)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Aurelia Morabito, Giulia De Simone, Roberta Pastorelli,, ...
🏒Universities: Politecnico di Milano, Università degli Studi Milano Bicocca, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Italy

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πŸ“²Channel: @Bioinformatics
#review #omics #multilayer
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πŸ“„ Predicting host-pathogen interactions with machine learning algorithms: A scoping review

πŸ““ Journal: Infection, Genetics and Evolution (I.F.=2.6)
πŸ—“ Publish year: 2025

πŸ§‘β€πŸ’»
Authors: Rasool Sahragard, Masoud Arabfard, Ali Najafi
🏒Universities: Baqiyatallah University of Medical Sciences, Iran

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πŸ“²Channel: @Bioinformatics
#review #host #pathogen #machine_learning
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πŸ“‘ Application of large language models in disease diagnosis and treatment

πŸ“™ Journal: Chinese Medical Journal (I.F.=7.5)
πŸ—“ Publish year: 2024

πŸ§‘β€πŸ’»
Authors: Xintian Yang, Tongxin Li, Qin Su, ...
🏒Universities: Fourth Military Medical University, China

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πŸ“²Channel: @Bioinformatics
#review #llm #chatgpt #disease
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