📄 Bioinformatics-Based Activities in High School
📘Journal: Frontiers in Microbiology (I.F.=6.064)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#teaching #school
📘Journal: Frontiers in Microbiology (I.F.=6.064)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#teaching #school
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📃A Survey on Computational Methods for Investigation on ncRNA-Disease Association
📘Journal: International Journal of Molecular Sciences (I.F.=6.208)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #ncRNA
📘Journal: International Journal of Molecular Sciences (I.F.=6.208)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #ncRNA
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📑A systematic survey of centrality measures for protein-protein interaction networks
📘Journal: BMC Systems Biology
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#review #ppi #centrality
📘Journal: BMC Systems Biology
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#review #ppi #centrality
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❓What language should I learn for Bioinformatics? R or Python?
🎞 Watch the clip
📲Channel: @Bioinformatics
#video #r #python
🎞 Watch the clip
📲Channel: @Bioinformatics
#video #r #python
YouTube
R versus Python for bioinformatics
Which programming language should you learn if you want to start doing bioinformatics? I do a basic comparison between R and python in this video.
Both the R programming language and Python are very valuable tools for bioinformatics and data analysis but…
Both the R programming language and Python are very valuable tools for bioinformatics and data analysis but…
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Forwarded from Network Analysis Resources & Updates
📄Network analysis with biological data of cancer patients: A scoping review
📘Journal: Journal of Biomedical Informatics (I.F=8)
🗓Publish year: 2021
📎Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #biological #cancer
📘Journal: Journal of Biomedical Informatics (I.F=8)
🗓Publish year: 2021
📎Study the paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #biological #cancer
👍4
📄Ten simple rules to create biological network figures for communication
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
👍4
📖 Bioinformatics for Beginners
💥Genes, Genome, Molecular Evolution, Databases and Analytical Tools
🌐 Study
📲Channel: @Bioinformatics
#book
💥Genes, Genome, Molecular Evolution, Databases and Analytical Tools
🌐 Study
📲Channel: @Bioinformatics
#book
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📃 A comprehensive survey of the approaches for pathway analysis using multi-omics data integration
📘Journal: Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #pathway
📘Journal: Briefings in Bioinformatics (I.F=13.994)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #pathway
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🎞 Mathematical Modeling of Cell Signaling
▫️Day 1
▫️Day 2
▫️Day 3
📦 Course martials
📲Channel: @Bioinformatics
#video #signaling
▫️Day 1
▫️Day 2
▫️Day 3
📦 Course martials
📲Channel: @Bioinformatics
#video #signaling
YouTube
W10: Mathematical Modeling of Cell Signaling – Day 1
Course Materials - https://drive.google.com/drive/folders/1kNP-wW8-7ahImW6RbxHoQMOFacEzv-Gi?usp=sharing
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📃 Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
📘Journal: Frontiers in Chemistry (I.F.=5.545)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug_target
📘Journal: Frontiers in Chemistry (I.F.=5.545)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug_target
👍6
📄 Post-translational modifications in proteins: resources, tools and prediction methods
📘Journal: Database (I.F.=4.462)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #protein #post_translational
📘Journal: Database (I.F.=4.462)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #protein #post_translational
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📔 A biologist's guide to statistical thinking and analysis
💥 Free Book chapter
🌐 Study
📲Channel: @Bioinformatics
#book #statistics
💥 Free Book chapter
🌐 Study
📲Channel: @Bioinformatics
#book #statistics
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👨🏫Phylogenetics: An introduction
💥Free online tutorial from EMBL-EBI
🖇 Course details
🚪Enter course
📲Channel: @Bioinformatics
#Phylogenetics #tutorial #course
💥Free online tutorial from EMBL-EBI
🖇 Course details
🚪Enter course
📲Channel: @Bioinformatics
#Phylogenetics #tutorial #course
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📃A review of biomedical datasets relating to drug discovery: a knowledge graph perspective
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2022
📎 Downloable version
🖇 Main link
📲Channel: @Bioinformatics
#review #drug #dataset
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2022
📎 Downloable version
🖇 Main link
📲Channel: @Bioinformatics
#review #drug #dataset
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📄The AlphaFold Database of Protein Structures: A Biologist’s Guide
📘Journal: Journal of Molecular Biology (JMB) (I.F.=6.151)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#protein #database #alphafold
📘Journal: Journal of Molecular Biology (JMB) (I.F.=6.151)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#protein #database #alphafold
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📑Challenges and opportunities in network-based solutions for biological questions
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#network #challenges
📘Journal: Briefing in Bioinformatics (I.F.=13.994)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#network #challenges
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📄A biologist’s guide to modern techniques in quantitative proteomics
💥Technical Review
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#proteomics
💥Technical Review
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#proteomics
📃Graph Models for Biological Pathway Visualization: State of the Art and Future Challenges
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#pathway #visualization
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#pathway #visualization
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📄Phylogenetics Algorithms and Applications
📚 Source: Advances in Intelligent Systems and Computing book series (AISC,volume 904)
🗓Publish year: 2019
💥Abstract: Phylogenetics is a powerful approach in finding evolution of current day species. By studying phylogenetic trees, scientists gain a better understanding of how species have evolved while explaining the similarities and differences among species. The phylogenetic study can help in analysing the evolution and the similarities among diseases and viruses, and further help in prescribing their vaccines against them. This paper explores computational solutions for building phylogeny of species along with highlighting benefits of alignment-free methods of phylogenetics. The paper has also discussed the application of phylogenetic study in disease diagnosis and evolution.
📎 Study the paper
📲Channel: @Bioinformatics
#Phylogenetics #algorithm
📚 Source: Advances in Intelligent Systems and Computing book series (AISC,volume 904)
🗓Publish year: 2019
💥Abstract: Phylogenetics is a powerful approach in finding evolution of current day species. By studying phylogenetic trees, scientists gain a better understanding of how species have evolved while explaining the similarities and differences among species. The phylogenetic study can help in analysing the evolution and the similarities among diseases and viruses, and further help in prescribing their vaccines against them. This paper explores computational solutions for building phylogeny of species along with highlighting benefits of alignment-free methods of phylogenetics. The paper has also discussed the application of phylogenetic study in disease diagnosis and evolution.
📎 Study the paper
📲Channel: @Bioinformatics
#Phylogenetics #algorithm
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