Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“šTwo old but still valuable books:

πŸ“˜ Python for Biologists
πŸ“• Practical Computing for Biologists

πŸ“²Channel: @Bioinformatics
#book #python # programming #biologists
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πŸ“„Network-based machine learning and graph theory algorithms for precision oncology

πŸ“˜Journal: npj Precision Oncology(I.F=10.092)

πŸ—“Publish year: 2017

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #machine_Learning #graph
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πŸ“– A Primer for Computational Biology
πŸ’₯ Free Ebook from Oregon State University

🌐 Study

πŸ“²Channel: @Bioinformatics
#book #computational_biology
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πŸ“„New perspectives on analysing data from biological collections based on social network analytics

πŸ“˜
Journal: Scientific Reports (I.F=4.996)

πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #biological
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πŸ“„Multilayer networks: aspects, implementations, and application in biomedicine

πŸ“˜
Journal: Big Data Analytics

πŸ—“Publish year: 2020

πŸ“ŽStudy paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #application #biomedicine
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πŸ“‘ Open Problems in Mathematical Biology

πŸ—“Publish year: 2022

πŸ’₯ 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.

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#mathematics
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πŸ“„Ten simple rules for teaching yourself R

πŸ“˜Journal: PLOS Computational Biology (I.F.=4.779)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#R
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🏒 3rd Bioinformatics and Biodiversity Conferences (BBC) x 6th International Symposium on Bioinformatics (InSyb)
πŸ’₯Theme: " Omics Study for Environment and Human Health "

πŸ—“ Date: November 5-6, 2022

πŸ“Location: Virtual via Zoom

πŸ–‡Website: More information and Registration
☎️
Contact: https://wa.me/6287874159377

πŸ“²Channel: @Bioinformatics
#conference
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πŸ‘¨β€πŸ« Complete, free Genomics course (Lecture notes, recordings, assignments and tests!)

πŸ’ŽCourse Goals:
▫️ Provide 4th year undergraduate students who have had little or no bioinformatics experience with a practical introduction to Genomics
▫️ Prioritize understanding material vs pure memorization
▫️ Focus on reading and understanding current literature from Genomics
▫️ Provide hands on experience of beginner level bioinformatics with assignments
▫️ Deliver course purely online

🧰 Course Materials (PowerPoints, Assignments, Tests)
🎞 Lecture Recordings

🌐 Course details

πŸ“²Channel: @Bioinformatics
β˜•οΈ Buy me a coffee
#course #genomics
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πŸ“ƒ A survey of machine learning techniques for prediction of drug side effects

πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#drug #side_effect #machine_learning
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🎞 Introduction to Pathway and Network Analysis

πŸ’₯Free recorded lecture by Juri Reimand

πŸ’₯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.

πŸ“½ Watch

πŸ“±Channel: @ComplexNetworkAnalysis

#video #Pathway #networks_science
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πŸ“– Basics of Bioinformatics
πŸ’₯Lecture Notes of the Graduate Summer School on Bioinformatics of China

πŸ”° Some Chapters:
▫️ Basics for Bioinformatics
▫️ Basic Statistics for Bioinformatics
▫️Topics in Computational Genomics
▫️Statistical Methods in Bioinformatics
▫️Algorithms in Computational Biology
▫️Association Analysis for Human Diseases: Methods and Examples
▫️Data
Mining and Knowledge Discovery Methods with Case Examples
▫️Applied Bioinformatics Tools

🌐 Study

πŸ“²Channel: @Bioinformatics
#book

⚠ Please use a different browser than chrome if you encounter download or opening error
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πŸ“• Analysis of Biological Networks

πŸ“Ž Study the book

πŸ“±Channel: @ComplexNetworkAnalysis

#book #Biological_Networks
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πŸ‘¨β€πŸ« Registration is open to one month International Bioinformatics Workshop by DE<code>LIFE
πŸ’₯ Drug Discovery and Development - 3rd Edition, 2022 πŸ’₯

πŸ—“ Duration: 29 October - 22 November , 2022

✍️ Registration Link:
https://decodelife.co.in

πŸ’² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

πŸ’₯Key Features :
▫️ 20 sessions with approximately 30 hrs of learning.
▫️E- Certificate of Participation.

❗️Note: video recording will be shared with participants immediately after each session along with relevant material.

❓Frequently asked questions: https://decodelife.co.in/faq/

πŸ“²Channel: @Bioinformatics
πŸ“„Centrality Analysis Methods for Biological Networks and Their Application to Gene Regulatory Networks

πŸ“˜Journal: SAGE(I.F=1.356)

πŸ“ŽStudy paper

πŸ“²Channel: @ComplexNetworkAnalysis
#paper #centrality #Biological_Networks #Gene_Regulatory_Networks
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πŸ“ƒ Predictive Modelling in Clinical Bioinformatics: Key Concepts for Startups

πŸ“˜Journal: BioTech
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#prediction
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πŸ“„ Bioinformatics-Based Activities in High School

πŸ“˜Journal: Frontiers in Microbiology (I.F.=6.064)
πŸ—“Publish year: 2020

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#teaching #school
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πŸ“ƒA Survey on Computational Methods for Investigation on ncRNA-Disease Association

πŸ“˜Journal: International Journal of Molecular Sciences (I.F.=6.208)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#review #ncRNA
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