πΉ Introduction to Computational Biology: Statistics Review
π₯ From University of Virginia
π Watch
π²Channel: @Bioinformatics
#video #statistics
π₯ From University of Virginia
π Watch
π²Channel: @Bioinformatics
#video #statistics
π2
π Registration is open for One-Month International Bioinformatics Workshop by Decode Life
π₯ AI and Machine Learning for Drug Discovery (7th Edition) β March 2025 π₯
π Duration: 29 March β 22 April, 2025
π² Fees: βΉ1300 for Indian Participants / $30 for International Participants
π Registration Link: https://decodelife.co.in
β¨ Key Features:
β 21 sessions with approximately 35 hours of learning
β E-Certificate of Participation
β Video recordings and relevant material shared after each session
β FAQs: https://decodelife.co.in/faq/
π’ Donβt miss this opportunity to enhance your skills in AI-driven drug discovery! Register now!
π²Channel: @Bioinformatics
π₯ AI and Machine Learning for Drug Discovery (7th Edition) β March 2025 π₯
π Duration: 29 March β 22 April, 2025
π² Fees: βΉ1300 for Indian Participants / $30 for International Participants
π Registration Link: https://decodelife.co.in
β¨ Key Features:
β 21 sessions with approximately 35 hours of learning
β E-Certificate of Participation
β Video recordings and relevant material shared after each session
β FAQs: https://decodelife.co.in/faq/
π’ Donβt miss this opportunity to enhance your skills in AI-driven drug discovery! Register now!
π²Channel: @Bioinformatics
π4
πGraph neural networks for single-cell omics data: a review of approaches and applications
π Journal: Briefings in Bioinformatics (I.F.=6.8)
π Publish year: 2025
π§βπ»Authors: Sijie Li, Heyang Hua, Shengquan Chen
π’Universities: Nankai University, China
π Study the paper
π²Channel: @Bioinformatics
#review #gnn #single_cell #omic
π Journal: Briefings in Bioinformatics (I.F.=6.8)
π Publish year: 2025
π§βπ»Authors: Sijie Li, Heyang Hua, Shengquan Chen
π’Universities: Nankai University, China
π Study the paper
π²Channel: @Bioinformatics
#review #gnn #single_cell #omic
π4π1
πDevelopment and Application of Proteomic and Genomic Methods in RNA Biology
π₯Doctoral thesis from California Institute of Technology, USA
πPublish year: 2025
π Study thesis
π²Channel: @Bioinformatics
#thesis #rna #proteomic #genomics
π₯Doctoral thesis from California Institute of Technology, USA
πPublish year: 2025
π Study thesis
π²Channel: @Bioinformatics
#thesis #rna #proteomic #genomics
π4
π Overview and Prospects of DNA Sequence Visualization
π Journal: International Journal of Molecular Sciences (I.F.=4.8)
π Publish year: 2025
π§βπ»Authors: Yan Wu,Xiaojun Xie, Jihong Zhu, ...
π’Universities: Gannan Normal University, China
π Study the paper
π²Channel: @Bioinformatics
#review #dna #visualization
π Journal: International Journal of Molecular Sciences (I.F.=4.8)
π Publish year: 2025
π§βπ»Authors: Yan Wu,Xiaojun Xie, Jihong Zhu, ...
π’Universities: Gannan Normal University, China
π Study the paper
π²Channel: @Bioinformatics
#review #dna #visualization
β€4π3
π A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design
π Publish year: 2025
π§βπ»Author: Weihang Dai
π’Universities: The Hong Kong University of Science and Technology
π Study the paper
π²Channel: @Bioinformatics
#review #deep_learning #protein
π Publish year: 2025
π§βπ»Author: Weihang Dai
π’Universities: The Hong Kong University of Science and Technology
π Study the paper
π²Channel: @Bioinformatics
#review #deep_learning #protein
π8β€2
π Cancer epigenetic therapy: recent advances, challenges, and emerging opportunities
πJournal: Epigenomics (I.F.=3)
π Publish year: 2025
π§βπ»Authors: Rajita Vatapalli, Alex P. Rossi, Ho Man Chan & Jingwen Zhang
π’University: a AstraZeneca, Oncology Research and Development, USA
π Study the paper
π²Channel: @Bioinformatics
#review #caner #epigenetic
πJournal: Epigenomics (I.F.=3)
π Publish year: 2025
π§βπ»Authors: Rajita Vatapalli, Alex P. Rossi, Ho Man Chan & Jingwen Zhang
π’University: a AstraZeneca, Oncology Research and Development, USA
π Study the paper
π²Channel: @Bioinformatics
#review #caner #epigenetic
β€3π1
π Deep learning in microbiome analysis: a comprehensive review of neural network models
π Journal: Frontiers in Microbiology (I.F.=4)
π Publish year: 2025
π§βπ»Authors: Piotr Przymus, Krzysztof Rykaczewski, AdriΓ‘n MartΓn-Segura, ...
π’Universities:
- Nicolaus Copernicus University in ToruΕ & University of Warmia and Mazury in Olsztyn,, Poland
- University of Tartu, Estonia
- University of Cambridge, United Kingdom
- Technical University of Applied Sciences Wildau, Germany
π Study the paper
π²Channel: @Bioinformatics
#review #deep_learning #microbiome
π Journal: Frontiers in Microbiology (I.F.=4)
π Publish year: 2025
π§βπ»Authors: Piotr Przymus, Krzysztof Rykaczewski, AdriΓ‘n MartΓn-Segura, ...
π’Universities:
- Nicolaus Copernicus University in ToruΕ & University of Warmia and Mazury in Olsztyn,, Poland
- University of Tartu, Estonia
- University of Cambridge, United Kingdom
- Technical University of Applied Sciences Wildau, Germany
π Study the paper
π²Channel: @Bioinformatics
#review #deep_learning #microbiome
Frontiers
Frontiers | Deep learning in microbiome analysis: a comprehensive review of neural network models
Microbiome research, the study of microbial communities in diverse environments, has seen significant advances due to the integration of deep learning (DL) m...
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πΉ Understanding Bioinformatics for Next-Generation Sequencing (NGS): Example of Whole-Exome Sequencing
π Watch
π²Channel: @Bioinformatics
#video #ngs #whole_exome
π Watch
π²Channel: @Bioinformatics
#video #ngs #whole_exome
π5β€1π₯1
π A brief survey of deep learning-based models for CircRNA-protein binding sites prediction
π Journal: Neurocomputing (I.F.=5.5)
π Publish year: 2025
π§βπ»Authors: Zhen Shen, Lin Yuan, Wenzheng Bao , ...
π’Universities: Nanyang Institute of Technology - Qilu University of Technology - Xuzhou University of Technology-Eastern Institute of Technology, China
π Study the paper
π²Channel: @Bioinformatics
#review #dna #deep_learning #circRNA #binding
π Journal: Neurocomputing (I.F.=5.5)
π Publish year: 2025
π§βπ»Authors: Zhen Shen, Lin Yuan, Wenzheng Bao , ...
π’Universities: Nanyang Institute of Technology - Qilu University of Technology - Xuzhou University of Technology-Eastern Institute of Technology, China
π Study the paper
π²Channel: @Bioinformatics
#review #dna #deep_learning #circRNA #binding
π5π2π1
π2π1
π From tomorrow, One-Month International Bioinformatics Workshop by Decode Life
π₯ AI and Machine Learning for Drug Discovery (7th Edition) β March 2025 π₯
π Duration: 29 March β 22 April, 2025
π² Fees: βΉ1300 for Indian Participants / $30 for International Participants
π Registration Link: https://decodelife.co.in
β¨ Key Features:
β 21 sessions with approximately 35 hours of learning
β E-Certificate of Participation
β Video recordings and relevant material shared after each session
β FAQs: https://decodelife.co.in/faq/
π’ Donβt miss this opportunity to enhance your skills in AI-driven drug discovery! Register now!
π²Channel: @Bioinformatics
π₯ AI and Machine Learning for Drug Discovery (7th Edition) β March 2025 π₯
π Duration: 29 March β 22 April, 2025
π² Fees: βΉ1300 for Indian Participants / $30 for International Participants
π Registration Link: https://decodelife.co.in
β¨ Key Features:
β 21 sessions with approximately 35 hours of learning
β E-Certificate of Participation
β Video recordings and relevant material shared after each session
β FAQs: https://decodelife.co.in/faq/
π’ Donβt miss this opportunity to enhance your skills in AI-driven drug discovery! Register now!
π²Channel: @Bioinformatics
β€4π3
π Introduction to Linux for Bioinformatics
π₯Booklet
πPublish year: 2024
π§βπ»Author: David da Silva Pires
π’University: Butantan Institute, Brazil
π Study
π²Channel: @Bioinformatics
#book #booklet #linux
π₯Booklet
πPublish year: 2024
π§βπ»Author: David da Silva Pires
π’University: Butantan Institute, Brazil
π Study
π²Channel: @Bioinformatics
#book #booklet #linux
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πΉ Single-Cell Analysis without coding!
π Watch
π²Channel: @Bioinformatics
#video #single_cell #drug
π Watch
π²Channel: @Bioinformatics
#video #single_cell #drug
π Bioinformatics software development: Principles and future directions
π Journal: The Innovation Life
π Publish year: 2024
π§βπ»Authors: Xu-Kai Ma, Yan Yu, Tao Huang, ...
π’Universities: Fudan University - Sichuan University-Chinese Academy of Sciences- Beihang University-Southern Medical University, China
π Study the paper
π²Channel: @Bioinformatics
#review #software
π Journal: The Innovation Life
π Publish year: 2024
π§βπ»Authors: Xu-Kai Ma, Yan Yu, Tao Huang, ...
π’Universities: Fudan University - Sichuan University-Chinese Academy of Sciences- Beihang University-Southern Medical University, China
π Study the paper
π²Channel: @Bioinformatics
#review #software
π2
Forwarded from Network Analysis Resources & Updates
π Network-based multi-omics integrative analysis methods in drug discovery: a systematic review
π Journal: BioData Mining (I.F.=4)
π Publish year: 2025
π§βπ»Authors: Wei Jiang, Weicai Ye, Xiaoming Tan, ...
π’Universities: Hubei University- Sun Yat-sen University, China
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
π Journal: BioData Mining (I.F.=4)
π Publish year: 2025
π§βπ»Authors: Wei Jiang, Weicai Ye, Xiaoming Tan, ...
π’Universities: Hubei University- Sun Yat-sen University, China
π Study the paper
β‘οΈChannel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
π4π2β€1π1
πΎ Step Into the Future of Biomedicine with CRABS 2025!
π₯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:
βͺοΈ Omics Data Analysis
βͺοΈ Drug Discovery & AI
βͺοΈ 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.
π Learn more and apply: https://crabs.kse.ua
π¨ Registration deadline: April 15, 2025
Apply now and spend your summer exploring bioinformatics in the heart of Ukraine!
π²Channel: @Bioinformatics
π₯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:
βͺοΈ Omics Data Analysis
βͺοΈ Drug Discovery & AI
βͺοΈ 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.
π Learn more and apply: https://crabs.kse.ua
π¨ Registration deadline: April 15, 2025
Apply now and spend your summer exploring bioinformatics in the heart of Ukraine!
π²Channel: @Bioinformatics
π4