Forwarded from Network Analysis Resources & Updates
πMultilayer networks: aspects, implementations, and application in biomedicine
πJournal: Big Data Analytics
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #application #biomedicine
πJournal: Big Data Analytics
πPublish year: 2020
πStudy paper
π±Channel: @ComplexNetworkAnalysis
#paper #application #biomedicine
π2β€1
π Open Problems in Mathematical Biology
πPublish year: 2022
π₯ Abstract: Biology is data-rich, and it is equally rich in concepts and hypotheses. Mathematical methods are gaining in importance across the life- and biomedical sciences. Mathematical models allow us to test our understanding, make testable predictions about future behaviour, and gain insights into how we can control the behaviour of biological systems. It has been argued that mathematical methods can be of great benefit to biologists to make sense of data. But mathematics and mathematicians are set to benefit equally from considering the often bewildering complexity inherent to living systems. Here we present a small selection of open problems and challenges in mathematical biology. We have chosen these open problems because they are of both biological and mathematical interest.
π Study the paper
π²Channel: @Bioinformatics
#mathematics
πPublish year: 2022
π₯ Abstract: Biology is data-rich, and it is equally rich in concepts and hypotheses. Mathematical methods are gaining in importance across the life- and biomedical sciences. Mathematical models allow us to test our understanding, make testable predictions about future behaviour, and gain insights into how we can control the behaviour of biological systems. It has been argued that mathematical methods can be of great benefit to biologists to make sense of data. But mathematics and mathematicians are set to benefit equally from considering the often bewildering complexity inherent to living systems. Here we present a small selection of open problems and challenges in mathematical biology. We have chosen these open problems because they are of both biological and mathematical interest.
π Study the paper
π²Channel: @Bioinformatics
#mathematics
π8
πTen simple rules for teaching yourself R
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#R
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#R
π6π₯3π€1
π’ 3rd Bioinformatics and Biodiversity Conferences (BBC) x 6th International Symposium on Bioinformatics (InSyb)
π₯Theme: " Omics Study for Environment and Human Health "
π Date: November 5-6, 2022
πLocation: Virtual via Zoom
πWebsite: More information and Registration
βοΈ Contact: https://wa.me/6287874159377
π²Channel: @Bioinformatics
#conference
π₯Theme: " Omics Study for Environment and Human Health "
π Date: November 5-6, 2022
πLocation: Virtual via Zoom
πWebsite: More information and Registration
βοΈ Contact: https://wa.me/6287874159377
π²Channel: @Bioinformatics
#conference
π8
π¨βπ« Complete, free Genomics course (Lecture notes, recordings, assignments and tests!)
πCourse Goals:
β«οΈ Provide 4th year undergraduate students who have had little or no bioinformatics experience with a practical introduction to Genomics
β«οΈ Prioritize understanding material vs pure memorization
β«οΈ Focus on reading and understanding current literature from Genomics
β«οΈ Provide hands on experience of beginner level bioinformatics with assignments
β«οΈ Deliver course purely online
π§° Course Materials (PowerPoints, Assignments, Tests)
π Lecture Recordings
π Course details
π²Channel: @Bioinformatics
βοΈ Buy me a coffee
#course #genomics
πCourse Goals:
β«οΈ Provide 4th year undergraduate students who have had little or no bioinformatics experience with a practical introduction to Genomics
β«οΈ Prioritize understanding material vs pure memorization
β«οΈ Focus on reading and understanding current literature from Genomics
β«οΈ Provide hands on experience of beginner level bioinformatics with assignments
β«οΈ Deliver course purely online
π§° Course Materials (PowerPoints, Assignments, Tests)
π Lecture Recordings
π Course details
π²Channel: @Bioinformatics
βοΈ Buy me a coffee
#course #genomics
π20π₯12π3π€1
π A survey of machine learning techniques for prediction of drug side effects
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#drug #side_effect #machine_learning
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#drug #side_effect #machine_learning
β€1π1
Forwarded from Network Analysis Resources & Updates
π Introduction to Pathway and Network Analysis
π₯Free recorded lecture by Juri Reimand
π₯This is the twelfth module in the 2017 High-Throughput Biology: From Sequence to Networks workshop hosted by the Canadian Bioinformatics Workshops at Cold Spring Harbor Labs.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Pathway #networks_science
π₯Free recorded lecture by Juri Reimand
π₯This is the twelfth module in the 2017 High-Throughput Biology: From Sequence to Networks workshop hosted by the Canadian Bioinformatics Workshops at Cold Spring Harbor Labs.
π½ Watch
π±Channel: @ComplexNetworkAnalysis
#video #Pathway #networks_science
YouTube
Introduction to Pathway and Network Analysis
This is the twelfth module in the 2017 High-Throughput Biology: From Sequence to Networks workshop hosted by the Canadian Bioinformatics Workshops at Cold Spring Harbor Labs. This lecture is by Juri Reimand from the Ontario Institute for Cancer Research.β¦
π10
π Basics of Bioinformatics
π₯Lecture Notes of the Graduate Summer School on Bioinformatics of China
π° Some Chapters:
β«οΈ Basics for Bioinformatics
β«οΈ Basic Statistics for Bioinformatics
β«οΈTopics in Computational Genomics
β«οΈStatistical Methods in Bioinformatics
β«οΈAlgorithms in Computational Biology
β«οΈAssociation Analysis for Human Diseases: Methods and Examples
β«οΈData Mining and Knowledge Discovery Methods with Case Examples
β«οΈApplied Bioinformatics Tools
π Study
π²Channel: @Bioinformatics
#book
β Please use a different browser than chrome if you encounter download or opening error
π₯Lecture Notes of the Graduate Summer School on Bioinformatics of China
π° Some Chapters:
β«οΈ Basics for Bioinformatics
β«οΈ Basic Statistics for Bioinformatics
β«οΈTopics in Computational Genomics
β«οΈStatistical Methods in Bioinformatics
β«οΈAlgorithms in Computational Biology
β«οΈAssociation Analysis for Human Diseases: Methods and Examples
β«οΈData Mining and Knowledge Discovery Methods with Case Examples
β«οΈApplied Bioinformatics Tools
π Study
π²Channel: @Bioinformatics
#book
β Please use a different browser than chrome if you encounter download or opening error
π18π6β€2π2π₯1
Forwarded from Network Analysis Resources & Updates
π Analysis of Biological Networks
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Biological_Networks
π Study the book
π±Channel: @ComplexNetworkAnalysis
#book #Biological_Networks
β€8π2π―1
π¨βπ« Registration is open to one month International Bioinformatics Workshop by DE<code>LIFE
π₯ Drug Discovery and Development - 3rd Edition, 2022 π₯
π Duration: 29 October - 22 November , 2022
βοΈ Registration Link:
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Key Features :
β«οΈ 20 sessions with approximately 30 hrs of learning.
β«οΈE- Certificate of Participation.
βοΈNote: video recording will be shared with participants immediately after each session along with relevant material.
βFrequently asked questions: https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
π₯ Drug Discovery and Development - 3rd Edition, 2022 π₯
π Duration: 29 October - 22 November , 2022
βοΈ Registration Link:
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Key Features :
β«οΈ 20 sessions with approximately 30 hrs of learning.
β«οΈE- Certificate of Participation.
βοΈNote: video recording will be shared with participants immediately after each session along with relevant material.
βFrequently asked questions: https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
Forwarded from Network Analysis Resources & Updates
πCentrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks
πJournal: SAGE(I.F=1.356)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
πJournal: SAGE(I.F=1.356)
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
π3
π Predictive Modelling in Clinical Bioinformatics: Key Concepts for Startups
πJournal: BioTech
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#prediction
πJournal: BioTech
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#prediction
π4π₯1
π Bioinformatics-Based Activities in High School
πJournal: Frontiers in Microbiology (I.F.=6.064)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#teaching #school
πJournal: Frontiers in Microbiology (I.F.=6.064)
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#teaching #school
π3β€1
πA Survey on Computational Methods for Investigation on ncRNA-Disease Association
πJournal: International Journal of Molecular Sciences (I.F.=6.208)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #ncRNA
πJournal: International Journal of Molecular Sciences (I.F.=6.208)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #ncRNA
π7
πA systematic survey of centrality measures for protein-protein interaction networks
πJournal: BMC Systems Biology
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
#review #ppi #centrality
πJournal: BMC Systems Biology
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
#review #ppi #centrality
π4
βWhat language should I learn for Bioinformatics? R or Python?
π Watch the clip
π²Channel: @Bioinformatics
#video #r #python
π Watch the clip
π²Channel: @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 butβ¦
Both the R programming language and Python are very valuable tools for bioinformatics and data analysis butβ¦
β€10π6π₯2
Forwarded from Network Analysis Resources & Updates
πNetwork analysis with biological data of cancer patients: A scoping review
πJournal: Journal of Biomedical Informatics (I.F=8)
πPublish year: 2021
πStudy the paper
π±Channel: @ComplexNetworkAnalysis
#paper #review #biological #cancer
πJournal: Journal of Biomedical Informatics (I.F=8)
πPublish year: 2021
πStudy the paper
π±Channel: @ComplexNetworkAnalysis
#paper #review #biological #cancer
π4
πTen simple rules to create biological network figures for communication
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
πJournal: PLOS Computational Biology (I.F.=4.779)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
π4
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
β€11π9π₯3π1π―1