Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“„Network analysis with biological data of cancer patients: A scoping review

πŸ“˜
Journal: Journal of Biomedical Informatics (I.F=8)

πŸ—“
Publish year: 2021

πŸ“ŽStudy the paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #review #biological #cancer
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πŸ“„Ten simple rules to create biological network figures for communication

πŸ“˜Journal: PLOS Computational Biology (I.F.=4.779)
πŸ—“Publish year: 2019

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πŸ“²Channel: @Bioinformatics
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πŸ“– Bioinformatics for Beginners
πŸ’₯Genes, Genome, Molecular Evolution, Databases and Analytical Tools

🌐 Study

πŸ“²Channel: @Bioinformatics
#book
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πŸ“ƒ A comprehensive survey of the approaches for pathway analysis using multi-omics data integration

πŸ“˜
Journal: Briefings in Bioinformatics (I.F=13.994)
πŸ—“Publish year: 2022

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πŸ“²Channel: @Bioinformatics
#review #pathway
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πŸ“ƒ Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities

πŸ“˜
Journal: Frontiers in Chemistry (I.F.=5.545)
πŸ—“Publish year: 2019

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πŸ“²Channel: @Bioinformatics
#review #drug_target
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πŸ“„ Post-translational modifications in proteins: resources, tools and prediction methods

πŸ“˜
Journal: Database (I.F.=4.462)
πŸ—“Publish year: 2021

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #protein #post_translational
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πŸ“” A biologist's guide to statistical thinking and analysis
πŸ’₯ Free Book chapter

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πŸ“²Channel: @Bioinformatics
#book #statistics
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πŸ‘¨β€πŸ«Phylogenetics: An introduction
πŸ’₯Free online tutorial from EMBL-EBI

πŸ–‡ Course details
πŸšͺEnter course

πŸ“²Channel: @Bioinformatics
#Phylogenetics #tutorial #course
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πŸ“ƒA review of biomedical datasets relating to drug discovery: a knowledge graph perspective

πŸ“˜Journal: Briefing in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2022

πŸ“Ž Downloable version
πŸ–‡ Main link

πŸ“²Channel: @Bioinformatics
#review #drug #dataset
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πŸ“„The AlphaFold Database of Protein Structures: A Biologist’s Guide

πŸ“˜
Journal: Journal of Molecular Biology (JMB) (I.F.=6.151)
πŸ—“Publish year: 2022

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πŸ“²Channel: @Bioinformatics
#protein #database #alphafold
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πŸ“‘Challenges and opportunities in network-based solutions for biological questions

πŸ“˜
Journal: Briefing in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2022

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πŸ“²Channel: @Bioinformatics
#network #challenges
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πŸ“„A biologist’s guide to modern techniques in quantitative proteomics
πŸ’₯Technical Review

πŸ—“Publish year: 2020

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πŸ“²Channel: @Bioinformatics
#proteomics
πŸ“ƒGraph Models for Biological Pathway Visualization: State of the Art and Future Challenges

πŸ—“Publish year: 2021

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πŸ“²Channel: @Bioinformatics
#pathway #visualization
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πŸ“„Phylogenetics Algorithms and Applications

πŸ“š Source: Advances in Intelligent Systems and Computing book series (AISC,volume 904)
πŸ—“Publish year: 2019

πŸ’₯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.

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πŸ“²Channel: @Bioinformatics
#Phylogenetics #algorithm
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πŸŽ“Network Structure vs Chemical Information in Drug-Drug Interaction Prediction

πŸ“˜Thesis from National Technical University of Athens, Greece

πŸ—“Publish year: 2022

πŸ“Ž Study thesis

πŸ“²Channel: @Bioinformatics
#thesis #drug
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πŸ“‘ Biomedical data, computational methods and tools for evaluating disease–disease associations

πŸ“˜
Journal: Briefing in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #disease #data #tool
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