π Federated learning frameworks: quality and interoperability for biomedical research
π Journal: NAR Genomics and Bioinformatics (I.F.=2.8)
πPublish year: 2026
π§βπ»Authors: MarΓa Chavero-Diez, Carles Hernandez-Ferrer, Laia CodΓ³, ...
π’Universities: Barcelona Supercomputing Center (BSC) & University of Barcelona, Spain
π Study the paper
π²Channel: @Bioinformatics
#review #federated_learning
π Journal: NAR Genomics and Bioinformatics (I.F.=2.8)
πPublish year: 2026
π§βπ»Authors: MarΓa Chavero-Diez, Carles Hernandez-Ferrer, Laia CodΓ³, ...
π’Universities: Barcelona Supercomputing Center (BSC) & University of Barcelona, Spain
π Study the paper
π²Channel: @Bioinformatics
#review #federated_learning
π2
π Systematic review of transformers, graph neural networks, and federated learning in oncology: Applications, challenges, and pathways to clinical translation
Journal: Informatics in Medicine Unlocked
πPublish year: 2026
π§βπ»Authors: Sasan Shafiei, Atousa Saleknezhad, Erfan Hashemi , ...
π’Universities: Shiraz University of Medical Sciences & Babol University of Medical Sciences & Tehran University of Medical Sciences & Jahrom University of Medical Sciences, Iran
π Study the paper
π²Channel: @Bioinformatics
#review #transformers #oncology #deep_learning
Journal: Informatics in Medicine Unlocked
πPublish year: 2026
π§βπ»Authors: Sasan Shafiei, Atousa Saleknezhad, Erfan Hashemi , ...
π’Universities: Shiraz University of Medical Sciences & Babol University of Medical Sciences & Tehran University of Medical Sciences & Jahrom University of Medical Sciences, Iran
π Study the paper
π²Channel: @Bioinformatics
#review #transformers #oncology #deep_learning
π1
π Artificial Intelligence to Guide Repurposing of Drugs
π Journal: Annual Review of Medicine (π₯I.F.=22.1)
πPublish year: 2026
π§βπ»Authors: Zhimin Fu, Yuxin Yang, Mina K. Chung, ...
π’Universities: University Hospitals of Cleveland, Cleveland & Case Western Reserve University & Lerner Research Institute, USA
π Study the paper
π²Channel: @Bioinformatics
#review #repurposing #drug
π Journal: Annual Review of Medicine (π₯I.F.=22.1)
πPublish year: 2026
π§βπ»Authors: Zhimin Fu, Yuxin Yang, Mina K. Chung, ...
π’Universities: University Hospitals of Cleveland, Cleveland & Case Western Reserve University & Lerner Research Institute, USA
π Study the paper
π²Channel: @Bioinformatics
#review #repurposing #drug
π3β€1
π Cognition, Cytokines, BloodβBrain Barrier, and Beyond in COVID-19: A Narrative Review
πJournal: International Journal of Molecular Sciences (I.F.=4.9)
πPublish year: 2026
π§βπ»Authors: Ana Barajas, Gemma Riquelme-Alacid, AmΓ©rica Vera-Montecinos, and BelΓ©n Ramos
π’Universities: Universitat AutΓ²noma de Barcelona & Institut de Recerca Sant Joan de DΓ©u, Spain - Universidad San SebastiΓ‘n, Chile
π Study the paper
π²Channel: @Bioinformatics
#review #covid_19 #Cognition #Cytokines
πJournal: International Journal of Molecular Sciences (I.F.=4.9)
πPublish year: 2026
π§βπ»Authors: Ana Barajas, Gemma Riquelme-Alacid, AmΓ©rica Vera-Montecinos, and BelΓ©n Ramos
π’Universities: Universitat AutΓ²noma de Barcelona & Institut de Recerca Sant Joan de DΓ©u, Spain - Universidad San SebastiΓ‘n, Chile
π Study the paper
π²Channel: @Bioinformatics
#review #covid_19 #Cognition #Cytokines
β€2π1
π A Survey on Multimodal AI and Agent Systems for Biology: Perception, Reasoning, Generation, and Automation
πPublish year: 2026
π§βπ»Authors: Emily Johnson, Zihan Dong
π’University: University of Massachusetts Amherst, USA
π Study the paper
π²Channel: @Bioinformatics
#review #ai #multimodal
πPublish year: 2026
π§βπ»Authors: Emily Johnson, Zihan Dong
π’University: University of Massachusetts Amherst, USA
π Study the paper
π²Channel: @Bioinformatics
#review #ai #multimodal
π4
π AI-Based Prediction of Gene Expression in Single-Cell and Multiscale Genomics and Transcriptomics
π Journal:International Journal of Molecular Sciences (I.F.=4.9)
πPublish year: 2026
π§βπ»Authors: Ema Andreea PΔlΔΘtea, Irina-Mihaela Matache,Eugen Radu, ...
π’Universities: Genomics Research and Development Institute & Carol Davila University of Medicine and Pharmacy & Emergency University Hospital, Romania - Yale School of Medicine & Viron Molecular Medicine Institute, USA
π Study the paper
π²Channel: @Bioinformatics
#review #ai #gene_expression #single_cell
π Journal:International Journal of Molecular Sciences (I.F.=4.9)
πPublish year: 2026
π§βπ»Authors: Ema Andreea PΔlΔΘtea, Irina-Mihaela Matache,Eugen Radu, ...
π’Universities: Genomics Research and Development Institute & Carol Davila University of Medicine and Pharmacy & Emergency University Hospital, Romania - Yale School of Medicine & Viron Molecular Medicine Institute, USA
π Study the paper
π²Channel: @Bioinformatics
#review #ai #gene_expression #single_cell
π3
π A Survey on Efficient Protein Language Models
πPublish year: 2025
π§βπ»Authors: Shouren Wang, Debargha Ganguly, Vinooth Kulkarni, ...
π’University: Case Western Reserve University, Cleveland Clinic, USA
π Study the paper
π²Channel: @Bioinformatics
#review #ai #llm #protein
πPublish year: 2025
π§βπ»Authors: Shouren Wang, Debargha Ganguly, Vinooth Kulkarni, ...
π’University: Case Western Reserve University, Cleveland Clinic, USA
π Study the paper
π²Channel: @Bioinformatics
#review #ai #llm #protein
π4β€2
π Gene regulatory networks: from correlative models to causal explanations
π Journal: Nature Reviews Genetics (I.F.=β‘οΈ52)
πPublish year: 2026
π§βπ»Authors: Rory J. Maizels & James Briscoe
π’ University: The Francis Crick Institute, London, UK
π Study the paper
π²Channel: @Bioinformatics
#review #grn #gene #regulatory
π Journal: Nature Reviews Genetics (I.F.=β‘οΈ52)
πPublish year: 2026
π§βπ»Authors: Rory J. Maizels & James Briscoe
π’ University: The Francis Crick Institute, London, UK
π Study the paper
π²Channel: @Bioinformatics
#review #grn #gene #regulatory
Nature
Gene regulatory networks: from correlative models to causal explanations
Nature Reviews Genetics - In this Perspective, Maizels and Briscoe discuss the limitations of current models of gene regulatory networks and outline solutions to harness data abundance without...
β€3
π Registration is open for the One-Month Comprehensive International Bioinformatics Workshop by Decode Life
π₯ Generative AI for Bioinformatics - with Python π₯
π Duration: 14 March - 9 April 2026
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/
π²Channel: @Bioinformatics
π₯ Generative AI for Bioinformatics - with Python π₯
π Duration: 14 March - 9 April 2026
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/
π²Channel: @Bioinformatics
β€7
Forwarded from Network Analysis Resources & Updates
π Network pharmacology in the multi-omics era: uncovering novel therapeutic strategies
π Journal: Discover Chemistry (I.F.=4.6)
π Publish year: 2026
π§βπ»Authors: Kalyani Ramprasad Thombre, Vaishnavi Gabhane, Krishna Radheshyam Gupta, ...
π’University: Kishoritai Bhoyar College of Pharmacy, India
π Study the paper
π― Article summary:
Network pharmacology represents a transformative approach in drug discovery, moving away from the traditional "one-drug, one-target" model to a systems-oriented framework that acknowledges the complexity of diseases through the integration of multi-omics data and computational methodologies. This review synthesizes current advancements in network pharmacology, highlighting its potential to enhance drug repurposing, precision medicine, and multi-target therapeutic strategies while addressing challenges related to data quality, methodological biases, and the need for rigorous experimental validation.
β‘οΈChannel: @ComplexNetworkAnalysis
#review #pharmacology #omics
π Journal: Discover Chemistry (I.F.=4.6)
π Publish year: 2026
π§βπ»Authors: Kalyani Ramprasad Thombre, Vaishnavi Gabhane, Krishna Radheshyam Gupta, ...
π’University: Kishoritai Bhoyar College of Pharmacy, India
π Study the paper
π― Article summary:
Network pharmacology represents a transformative approach in drug discovery, moving away from the traditional "one-drug, one-target" model to a systems-oriented framework that acknowledges the complexity of diseases through the integration of multi-omics data and computational methodologies. This review synthesizes current advancements in network pharmacology, highlighting its potential to enhance drug repurposing, precision medicine, and multi-target therapeutic strategies while addressing challenges related to data quality, methodological biases, and the need for rigorous experimental validation.
β‘οΈChannel: @ComplexNetworkAnalysis
#review #pharmacology #omics
β€7π1
π Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics
πPublish year: 2026
π§βπ»Authors: Ella Rannon, David Burstein
π’ University: Tel-Aviv University, Israel
π Study the paper
π²Channel: @Bioinformatics
#review #nlp
πPublish year: 2026
π§βπ»Authors: Ella Rannon, David Burstein
π’ University: Tel-Aviv University, Israel
π Study the paper
π²Channel: @Bioinformatics
#review #nlp
π₯4
π Blood proteomics: insights from public data
π Journal: Genome Biology (I.F.=9.4)
πPublish year: 2026
π§βπ»Authors: Asier Larrea-Sebal, Chengxin Dai, Alejandro J. Brenes, ...
π’ Universities: European Bioinformatics Institute (EMBL-EBI) & University of Edinburgh, UK &
Max Planck Institute of Biochemistry, Germany & University of Melbourne, Australia & ...
π Study the paper
π²Channel: @Bioinformatics
#review #blood #proteomics
π Journal: Genome Biology (I.F.=9.4)
πPublish year: 2026
π§βπ»Authors: Asier Larrea-Sebal, Chengxin Dai, Alejandro J. Brenes, ...
π’ Universities: European Bioinformatics Institute (EMBL-EBI) & University of Edinburgh, UK &
Max Planck Institute of Biochemistry, Germany & University of Melbourne, Australia & ...
π Study the paper
π²Channel: @Bioinformatics
#review #blood #proteomics
β€5π2
π ProteomeXchange Consortium in 2026: Making Proteomics Data Accessible
π Journal: Nucleic Acids Research (I.F.= 13.1)
πPublish year: 2026
π§βπ»Authors: Eric W. Deutsch,Nuno Bandeira , Yasset Perez-Riverol , et al.
π’ Universities: University of Washington, USA & EMBL-EBI, UK & Swiss Institute of Bioinformatics, Switzerland & ...
π Study the paper
π²Channel: @Bioinformatics
#review #dataset #proteomics
π Journal: Nucleic Acids Research (I.F.= 13.1)
πPublish year: 2026
π§βπ»Authors: Eric W. Deutsch,Nuno Bandeira , Yasset Perez-Riverol , et al.
π’ Universities: University of Washington, USA & EMBL-EBI, UK & Swiss Institute of Bioinformatics, Switzerland & ...
π Study the paper
π²Channel: @Bioinformatics
#review #dataset #proteomics
β€3
π LLM-Powered Bioinformatics Chatbot for Proteogenomics
π Journal: Nature Communications (I.F.=15.7)
πPublish year: 2025
π§βπ»Authors: Wei Liu, Jun Li, Yitao Tang, et al.
π’ Universities: The University of Texas MD Anderson Cancer Center & Baylor College of
Medicine & Brown University & Oregon Health & Science University, USA & ...
π Study the paper
π€ Chatbot:
https://drbioright.org
π²Channel: @Bioinformatics
#llm #chatgpt #chatbot #proteogenomics
π Journal: Nature Communications (I.F.=15.7)
πPublish year: 2025
π§βπ»Authors: Wei Liu, Jun Li, Yitao Tang, et al.
π’ Universities: The University of Texas MD Anderson Cancer Center & Baylor College of
Medicine & Brown University & Oregon Health & Science University, USA & ...
π Study the paper
π€ Chatbot:
https://drbioright.org
π²Channel: @Bioinformatics
#llm #chatgpt #chatbot #proteogenomics
π5β€1
π Artificial Intelligence agents for biological research: a survey
π Journal: Briefings in Bioinformatics (I.F.= 7.7)
πPublish year: 2026
π§βπ»Authors: Cong Qi , Wenbo Wang , Siqi Jiang , et al.
π’ Universities: , New Jersey Institute of Technology & Hamilton College, USA
π Study the paper
π¦ Github
π²Channel: @Bioinformatics
#review #ai #artificial_intelligence #agents
π Journal: Briefings in Bioinformatics (I.F.= 7.7)
πPublish year: 2026
π§βπ»Authors: Cong Qi , Wenbo Wang , Siqi Jiang , et al.
π’ Universities: , New Jersey Institute of Technology & Hamilton College, USA
π Study the paper
π¦ Github
π²Channel: @Bioinformatics
#review #ai #artificial_intelligence #agents
β€4
π How can AI transformers the analysis of gene expression data?
πΉ Watch
π²Channel: @Bioinformatics
#video #ai #gene_expression
πΉ Watch
π²Channel: @Bioinformatics
#video #ai #gene_expression
YouTube
Bioinformatics Club | 19.08 - How can AI transform the analysis of gene expression data?
This is the recording of the second meeting of the third session of IBRE Bioinformatics Club, an open series of online seminars dedicated to the discussion of best practices in modern bioinformatics and computational biology.
During this meeting, whichβ¦
During this meeting, whichβ¦
π Genomic sequence data sharing for clinical practice: A scoping review
π Journal: Computers in Biology and Medicine (I.F.=7.7)
πPublish year: 2026
π§βπ»Authors: Elias Crum, Ruben Taelman, Bart Buelens, GΓΆkhan Ertaylan
π’ Universites: Flemish Institute for Technological Research (VITO) & Ghent University, Belgium
π Study the paper
π²Channel: @Bioinformatics
#review #genomic #DataScience
π Journal: Computers in Biology and Medicine (I.F.=7.7)
πPublish year: 2026
π§βπ»Authors: Elias Crum, Ruben Taelman, Bart Buelens, GΓΆkhan Ertaylan
π’ Universites: Flemish Institute for Technological Research (VITO) & Ghent University, Belgium
π Study the paper
π²Channel: @Bioinformatics
#review #genomic #DataScience
β€1π₯1
π½ Introducing Molecular Biologists to Bioinformatics
π Watch
π²Channel: @Bioinformatics
#video #biologists
π Watch
π²Channel: @Bioinformatics
#video #biologists
YouTube
StaPH-B Call: Bioinformatics Training for Wet-lab Scientists (September 2025)
From Wet-Lab to Dry-Lab: Introducing Molecular Biologists to Bioinformatics
While understaffing is a challenge for many laboratories, it can be particularly disruptive for bioinformatics teams, which are often small to begin with. The DC Public Health Laboratoryβ¦
While understaffing is a challenge for many laboratories, it can be particularly disruptive for bioinformatics teams, which are often small to begin with. The DC Public Health Laboratoryβ¦
β€4π1
π A survey of contrastive learning methods in molecular representation
π Journal: Briefings in Bioinformatics (I.F.= 7.7)
πPublish year: 2026
π§βπ»Authors: Ali Forooghi , Shaghayegh Sadeghi , Luis Rueda , Alioune Ngom
π’ University: University of Windsor, Canada
π Study the paper
π²Channel: @Bioinformatics
#review #contrastive_learning #molecular
π Journal: Briefings in Bioinformatics (I.F.= 7.7)
πPublish year: 2026
π§βπ»Authors: Ali Forooghi , Shaghayegh Sadeghi , Luis Rueda , Alioune Ngom
π’ University: University of Windsor, Canada
π Study the paper
π²Channel: @Bioinformatics
#review #contrastive_learning #molecular