๐Graph neural networks for single-cell omics data: a review of approaches and applications
๐ Journal: Briefings in Bioinformatics (I.F.=6.8)
๐ Publish year: 2025
๐งโ๐ปAuthors: Sijie Li, Heyang Hua, Shengquan Chen
๐ขUniversities: Nankai University, China
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gnn #single_cell #omic
๐ Journal: Briefings in Bioinformatics (I.F.=6.8)
๐ Publish year: 2025
๐งโ๐ปAuthors: Sijie Li, Heyang Hua, Shengquan Chen
๐ขUniversities: Nankai University, China
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gnn #single_cell #omic
๐4๐1
๐Development and Application of Proteomic and Genomic Methods in RNA Biology
๐ฅDoctoral thesis from California Institute of Technology, USA
๐Publish year: 2025
๐ Study thesis
๐ฒChannel: @Bioinformatics
#thesis #rna #proteomic #genomics
๐ฅDoctoral thesis from California Institute of Technology, USA
๐Publish year: 2025
๐ Study thesis
๐ฒChannel: @Bioinformatics
#thesis #rna #proteomic #genomics
๐4
๐ Overview and Prospects of DNA Sequence Visualization
๐ Journal: International Journal of Molecular Sciences (I.F.=4.8)
๐ Publish year: 2025
๐งโ๐ปAuthors: Yan Wu,Xiaojun Xie, Jihong Zhu, ...
๐ขUniversities: Gannan Normal University, China
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #dna #visualization
๐ Journal: International Journal of Molecular Sciences (I.F.=4.8)
๐ Publish year: 2025
๐งโ๐ปAuthors: Yan Wu,Xiaojun Xie, Jihong Zhu, ...
๐ขUniversities: Gannan Normal University, China
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #dna #visualization
โค4๐3
๐ A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design
๐ Publish year: 2025
๐งโ๐ปAuthor: Weihang Dai
๐ขUniversities: The Hong Kong University of Science and Technology
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #deep_learning #protein
๐ Publish year: 2025
๐งโ๐ปAuthor: Weihang Dai
๐ขUniversities: The Hong Kong University of Science and Technology
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #deep_learning #protein
๐8โค2
๐ Cancer epigenetic therapy: recent advances, challenges, and emerging opportunities
๐Journal: Epigenomics (I.F.=3)
๐ Publish year: 2025
๐งโ๐ปAuthors: Rajita Vatapalli, Alex P. Rossi, Ho Man Chan & Jingwen Zhang
๐ขUniversity: a AstraZeneca, Oncology Research and Development, USA
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #caner #epigenetic
๐Journal: Epigenomics (I.F.=3)
๐ Publish year: 2025
๐งโ๐ปAuthors: Rajita Vatapalli, Alex P. Rossi, Ho Man Chan & Jingwen Zhang
๐ขUniversity: a AstraZeneca, Oncology Research and Development, USA
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #caner #epigenetic
โค3๐1
๐ Deep learning in microbiome analysis: a comprehensive review of neural network models
๐ Journal: Frontiers in Microbiology (I.F.=4)
๐ Publish year: 2025
๐งโ๐ปAuthors: Piotr Przymus, Krzysztof Rykaczewski, Adriรกn Martรญn-Segura, ...
๐ขUniversities:
- Nicolaus Copernicus University in Toruล & University of Warmia and Mazury in Olsztyn,, Poland
- University of Tartu, Estonia
- University of Cambridge, United Kingdom
- Technical University of Applied Sciences Wildau, Germany
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #deep_learning #microbiome
๐ Journal: Frontiers in Microbiology (I.F.=4)
๐ Publish year: 2025
๐งโ๐ปAuthors: Piotr Przymus, Krzysztof Rykaczewski, Adriรกn Martรญn-Segura, ...
๐ขUniversities:
- Nicolaus Copernicus University in Toruล & University of Warmia and Mazury in Olsztyn,, Poland
- University of Tartu, Estonia
- University of Cambridge, United Kingdom
- Technical University of Applied Sciences Wildau, Germany
๐ Study the paper
๐ฒChannel: @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...
โค4
๐น Understanding Bioinformatics for Next-Generation Sequencing (NGS): Example of Whole-Exome Sequencing
๐ Watch
๐ฒChannel: @Bioinformatics
#video #ngs #whole_exome
๐ Watch
๐ฒChannel: @Bioinformatics
#video #ngs #whole_exome
YouTube
Understanding Bioinformatics for Next-Generation Sequencing (NGS): Example of Whole-Exome Sequencing
This ~20-minute video demonstrates the steps Roche bioinformatics scientists take to analyze target enrichment data for whole-exome sequencing (WES) and calling germline variants. It includes an introduction to bioinformatics, an overview of different bioinformaticsโฆ
๐5โค1๐ฅ1
๐ A brief survey of deep learning-based models for CircRNA-protein binding sites prediction
๐ Journal: Neurocomputing (I.F.=5.5)
๐ Publish year: 2025
๐งโ๐ปAuthors: Zhen Shen, Lin Yuan, Wenzheng Bao , ...
๐ขUniversities: Nanyang Institute of Technology - Qilu University of Technology - Xuzhou University of Technology-Eastern Institute of Technology, China
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #dna #deep_learning #circRNA #binding
๐ Journal: Neurocomputing (I.F.=5.5)
๐ Publish year: 2025
๐งโ๐ปAuthors: Zhen Shen, Lin Yuan, Wenzheng Bao , ...
๐ขUniversities: Nanyang Institute of Technology - Qilu University of Technology - Xuzhou University of Technology-Eastern Institute of Technology, China
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #dna #deep_learning #circRNA #binding
๐5๐2๐1
๐ From tomorrow, One-Month International Bioinformatics Workshop by Decode Life
๐ฅ AI and Machine Learning for Drug Discovery (7th Edition) โ March 2025 ๐ฅ
๐ Duration: 29 March โ 22 April, 2025
๐ฒ Fees: โน1300 for Indian Participants / $30 for International Participants
๐ Registration Link: https://decodelife.co.in
โจ Key Features:
โ 21 sessions with approximately 35 hours of learning
โ E-Certificate of Participation
โ Video recordings and relevant material shared after each session
โ FAQs: https://decodelife.co.in/faq/
๐ข Donโt miss this opportunity to enhance your skills in AI-driven drug discovery! Register now!
๐ฒChannel: @Bioinformatics
๐ฅ AI and Machine Learning for Drug Discovery (7th Edition) โ March 2025 ๐ฅ
๐ Duration: 29 March โ 22 April, 2025
๐ฒ Fees: โน1300 for Indian Participants / $30 for International Participants
๐ Registration Link: https://decodelife.co.in
โจ Key Features:
โ 21 sessions with approximately 35 hours of learning
โ E-Certificate of Participation
โ Video recordings and relevant material shared after each session
โ FAQs: https://decodelife.co.in/faq/
๐ข Donโt miss this opportunity to enhance your skills in AI-driven drug discovery! Register now!
๐ฒChannel: @Bioinformatics
โค4๐3
๐ Introduction to Linux for Bioinformatics
๐ฅBooklet
๐Publish year: 2024
๐งโ๐ปAuthor: David da Silva Pires
๐ขUniversity: Butantan Institute, Brazil
๐ Study
๐ฒChannel: @Bioinformatics
#book #booklet #linux
๐ฅBooklet
๐Publish year: 2024
๐งโ๐ปAuthor: David da Silva Pires
๐ขUniversity: Butantan Institute, Brazil
๐ Study
๐ฒChannel: @Bioinformatics
#book #booklet #linux
โค7๐ฅ2๐1๐1
๐น Single-Cell Analysis without coding!
๐ Watch
๐ฒChannel: @Bioinformatics
#video #single_cell #drug
๐ Watch
๐ฒChannel: @Bioinformatics
#video #single_cell #drug
YouTube
Accelerate Data-to-Insight: Code-Free Single-Cell Analysis for Modern Drug Development
Explore how our cutting-edge, code-free single cell data analysis software, CeleLens Cloud, as well as our comprehensive single cell sequencing database, SynEcoSys, can revolutionize drug discovery and development in biotech and pharma.
This session willโฆ
This session willโฆ
๐ Bioinformatics software development: Principles and future directions
๐ Journal: The Innovation Life
๐ Publish year: 2024
๐งโ๐ปAuthors: Xu-Kai Ma, Yan Yu, Tao Huang, ...
๐ขUniversities: Fudan University - Sichuan University-Chinese Academy of Sciences- Beihang University-Southern Medical University, China
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #software
๐ Journal: The Innovation Life
๐ Publish year: 2024
๐งโ๐ปAuthors: Xu-Kai Ma, Yan Yu, Tao Huang, ...
๐ขUniversities: Fudan University - Sichuan University-Chinese Academy of Sciences- Beihang University-Southern Medical University, China
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #software
๐2
Forwarded from Network Analysis Resources & Updates
๐ Network-based multi-omics integrative analysis methods in drug discovery: a systematic review
๐ Journal: BioData Mining (I.F.=4)
๐ Publish year: 2025
๐งโ๐ปAuthors: Wei Jiang, Weicai Ye, Xiaoming Tan, ...
๐ขUniversities: Hubei University- Sun Yat-sen University, China
๐ Study the paper
โก๏ธChannel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
๐ Journal: BioData Mining (I.F.=4)
๐ Publish year: 2025
๐งโ๐ปAuthors: Wei Jiang, Weicai Ye, Xiaoming Tan, ...
๐ขUniversities: Hubei University- Sun Yat-sen University, China
๐ Study the paper
โก๏ธChannel: @ComplexNetworkAnalysis
#review #network #multi_omics #drug
๐4๐2โค1๐1
๐พ Step Into the Future of Biomedicine with CRABS 2025!
๐ฅFree 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:
โช๏ธ Omics Data Analysis
โช๏ธ Drug Discovery & AI
โช๏ธ 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.
๐ Learn more and apply: https://crabs.kse.ua
๐จ Registration deadline: April 15, 2025
Apply now and spend your summer exploring bioinformatics in the heart of Ukraine!
๐ฒChannel: @Bioinformatics
๐ฅFree 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:
โช๏ธ Omics Data Analysis
โช๏ธ Drug Discovery & AI
โช๏ธ 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.
๐ Learn more and apply: https://crabs.kse.ua
๐จ Registration deadline: April 15, 2025
Apply now and spend your summer exploring bioinformatics in the heart of Ukraine!
๐ฒChannel: @Bioinformatics
๐4
๐ A Comprehensive Guide to Validating Bioinformatics Findings: From In Silico to In Vitro
๐ Publish year: 2025
๐งโ๐ปAuthors: Tianyang Wang, Silin Chen, Yunze Wang, ... (17 authros)
๐ขUniversities: (University of Liverpool, UK), (Indiana University, USA), (Simon Fraser University, Canada), (Kyoto University, Japan), ...
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gene #protein #ai #multi_omics #NGS
๐ Publish year: 2025
๐งโ๐ปAuthors: Tianyang Wang, Silin Chen, Yunze Wang, ... (17 authros)
๐ขUniversities: (University of Liverpool, UK), (Indiana University, USA), (Simon Fraser University, Canada), (Kyoto University, Japan), ...
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gene #protein #ai #multi_omics #NGS
๐4โค1๐1