π Bioinformatics for Beginners
π₯Genes, Genome, Molecular Evolution, Databases and Analytical Tools
π Study
π²Channel: @Bioinformatics
#book
π₯Genes, Genome, Molecular Evolution, Databases and Analytical Tools
π Study
π²Channel: @Bioinformatics
#book
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π A comprehensive survey of the approaches for pathway analysis using multi-omics data integration
πJournal: Briefings in Bioinformatics (I.F=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #pathway
πJournal: Briefings in Bioinformatics (I.F=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #pathway
π6
π Mathematical Modeling of Cell Signaling
β«οΈDay 1
β«οΈDay 2
β«οΈDay 3
π¦ Course martials
π²Channel: @Bioinformatics
#video #signaling
β«οΈDay 1
β«οΈDay 2
β«οΈDay 3
π¦ Course martials
π²Channel: @Bioinformatics
#video #signaling
YouTube
W10: Mathematical Modeling of Cell Signaling β Day 1
Course Materials - https://drive.google.com/drive/folders/1kNP-wW8-7ahImW6RbxHoQMOFacEzv-Gi?usp=sharing
π10π―3π1
π Comparison Study of Computational Prediction Tools for Drug-Target Binding Affinities
πJournal: Frontiers in Chemistry (I.F.=5.545)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #drug_target
πJournal: Frontiers in Chemistry (I.F.=5.545)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #drug_target
π6
π Post-translational modifications in proteins: resources, tools and prediction methods
πJournal: Database (I.F.=4.462)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #protein #post_translational
πJournal: Database (I.F.=4.462)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #protein #post_translational
π7π₯1
π A biologist's guide to statistical thinking and analysis
π₯ Free Book chapter
π Study
π²Channel: @Bioinformatics
#book #statistics
π₯ Free Book chapter
π Study
π²Channel: @Bioinformatics
#book #statistics
π13β€5
π¨βπ«Phylogenetics: An introduction
π₯Free online tutorial from EMBL-EBI
π Course details
πͺEnter course
π²Channel: @Bioinformatics
#Phylogenetics #tutorial #course
π₯Free online tutorial from EMBL-EBI
π Course details
πͺEnter course
π²Channel: @Bioinformatics
#Phylogenetics #tutorial #course
π6
πA review of biomedical datasets relating to drug discovery: a knowledge graph perspective
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Downloable version
π Main link
π²Channel: @Bioinformatics
#review #drug #dataset
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Downloable version
π Main link
π²Channel: @Bioinformatics
#review #drug #dataset
π8
πThe AlphaFold Database of Protein Structures: A Biologistβs Guide
πJournal: Journal of Molecular Biology (JMB) (I.F.=6.151)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#protein #database #alphafold
πJournal: Journal of Molecular Biology (JMB) (I.F.=6.151)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#protein #database #alphafold
π6
πChallenges and opportunities in network-based solutions for biological questions
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#network #challenges
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#network #challenges
π5
πA biologistβs guide to modern techniques in quantitative proteomics
π₯Technical Review
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#proteomics
π₯Technical Review
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#proteomics
πGraph Models for Biological Pathway Visualization: State of the Art and Future Challenges
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#pathway #visualization
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#pathway #visualization
π3β€1
πPhylogenetics Algorithms and Applications
π Source: Advances in Intelligent Systems and Computing book series (AISC,volume 904)
πPublish year: 2019
π₯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.
π Study the paper
π²Channel: @Bioinformatics
#Phylogenetics #algorithm
π Source: Advances in Intelligent Systems and Computing book series (AISC,volume 904)
πPublish year: 2019
π₯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.
π Study the paper
π²Channel: @Bioinformatics
#Phylogenetics #algorithm
π4β€1
πNetwork Structure vs Chemical Information in Drug-Drug Interaction Prediction
πThesis from National Technical University of Athens, Greece
πPublish year: 2022
π Study thesis
π²Channel: @Bioinformatics
#thesis #drug
πThesis from National Technical University of Athens, Greece
πPublish year: 2022
π Study thesis
π²Channel: @Bioinformatics
#thesis #drug
π2β€1
π Bioinformatics in Python
π½ Watch introduction session
π Videos of other sessions
π²Channel: @Bioinformatics
#video #python
π½ Watch introduction session
π Videos of other sessions
π²Channel: @Bioinformatics
#video #python
YouTube
Bioinformatics in Python: Intro
π [DESCRIPTION]:
Introduction to upcoming series of video lessons in Bioinformatics using Python programming language. In this video, I provide a brief explanation of what to expect from this course, prerequisites and basic course structure.
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π [VIDEOβ¦
Introduction to upcoming series of video lessons in Bioinformatics using Python programming language. In this video, I provide a brief explanation of what to expect from this course, prerequisites and basic course structure.
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π [VIDEOβ¦
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π Biomedical data, computational methods and tools for evaluating diseaseβdisease associations
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #disease #data #tool
πJournal: Briefing in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #disease #data #tool
π3π₯2
πTen simple rules for creating a global network in computational biology
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: October, 2022
π Study the paper
π²Channel: @Bioinformatics
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: October, 2022
π Study the paper
π²Channel: @Bioinformatics
β€3π3π1
πApplication of artificial intelligence in drug repositioning
πJournal: Gene & Protein in Disease
πPublish year: November, 2022
π Study the paper
π²Channel: @Bioinformatics
#review #AI #drug
πJournal: Gene & Protein in Disease
πPublish year: November, 2022
π Study the paper
π²Channel: @Bioinformatics
#review #AI #drug
π3
πArtificial Intelligence, Machine Learning and Deep Learning in Ion Channel Bioinformatics
πJournal: Membranes (I.F.=4.562)
πPublish year: October, 2021
π₯From Abstract: This review provides an introduction to a novel research trend. Ion channel understanding is usually made considering the structural and functional perspectives, gating mechanisms, transport properties, channel protein mutations, etc. Focused research on ion channels and related findings over many decades accumulated huge data which may be utilized in a specialized scientific manner to fast conclude pinpointed aspects of channels. AI, ML, and DL techniques and models may appear as helping tools. This review aims at explaining the ways we may use the bioinformatics techniques and thus draw a few lines across the avenue to let the ion channel features appear clearer.
π Study the paper
π²Channel: @Bioinformatics
#review #ion_channel #ai
πJournal: Membranes (I.F.=4.562)
πPublish year: October, 2021
π₯From Abstract: This review provides an introduction to a novel research trend. Ion channel understanding is usually made considering the structural and functional perspectives, gating mechanisms, transport properties, channel protein mutations, etc. Focused research on ion channels and related findings over many decades accumulated huge data which may be utilized in a specialized scientific manner to fast conclude pinpointed aspects of channels. AI, ML, and DL techniques and models may appear as helping tools. This review aims at explaining the ways we may use the bioinformatics techniques and thus draw a few lines across the avenue to let the ion channel features appear clearer.
π Study the paper
π²Channel: @Bioinformatics
#review #ion_channel #ai
π6