💥INTERNATIONAL VIRTUAL INTERNSHIP IN STRUCTURAL BIOINFORMATICS AND GENOMICS💥
🎯OUTCOMES
- Opportunity to learn Structural Bioinformatics domains: Computer-Aided Drug Design (CADD), MD Simulations, and Membrane Simulations using CHARMM-GUI; Genomics domains: Next Generation Sequencing (NGS), RNA-Sequencing, and DE Analysis
- Great opportunity to expand network with international students
- Chance To get International Standard Certification.
👨🏻💼👩🏫 Highly Skilled Tutors
- Dr. Fayyaz, Centre for Computational Biology, University of Birmingham, UK
- Dr. Hemavathy N, NyBerMan Structural Bioinformatics team
- Dr. Anushree, National Centre of Biological Sciences (NCBS)
- Dr. Ponmathi, NyBerMan Genomics team
👩🎓Qualifications:
Anyone interested in excelling in Structural Bioinformatics & Genomics domains
💰Payment and Package details
🌐 Register for
🖇Structural Bioinformatics
🖇Genomics
📲Channel: @Bioinformatics
#internship #strcturebioinfo #ngs #rnaseq #omics
🎯OUTCOMES
- Opportunity to learn Structural Bioinformatics domains: Computer-Aided Drug Design (CADD), MD Simulations, and Membrane Simulations using CHARMM-GUI; Genomics domains: Next Generation Sequencing (NGS), RNA-Sequencing, and DE Analysis
- Great opportunity to expand network with international students
- Chance To get International Standard Certification.
👨🏻💼👩🏫 Highly Skilled Tutors
- Dr. Fayyaz, Centre for Computational Biology, University of Birmingham, UK
- Dr. Hemavathy N, NyBerMan Structural Bioinformatics team
- Dr. Anushree, National Centre of Biological Sciences (NCBS)
- Dr. Ponmathi, NyBerMan Genomics team
👩🎓Qualifications:
Anyone interested in excelling in Structural Bioinformatics & Genomics domains
💰Payment and Package details
🌐 Register for
🖇Structural Bioinformatics
🖇Genomics
📲Channel: @Bioinformatics
#internship #strcturebioinfo #ngs #rnaseq #omics
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👨💻 Fully Funded PhD Research Scholarship in Thailand 2023
💥PhD Student Position in Plant Systems Biology & Bioinformatics
ℹ️ More information
📬 Contact:
Assoc. Prof. Dr. Treenut Saithong ✉️[email protected]
Asst. Prof. Dr. Saowalak Kalapanulak ✉️[email protected]
📲Channel: @Bioinformatics
#scholarship #phd #Thailand
💥PhD Student Position in Plant Systems Biology & Bioinformatics
ℹ️ More information
📬 Contact:
Assoc. Prof. Dr. Treenut Saithong ✉️[email protected]
Asst. Prof. Dr. Saowalak Kalapanulak ✉️[email protected]
📲Channel: @Bioinformatics
#scholarship #phd #Thailand
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Forwarded from Network Analysis Resources & Updates
🎞 Network Analysis in Systems Biology
💥Free recorded course by Avi Ma’ayan, PhD
💥An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Biology
💥Free recorded course by Avi Ma’ayan, PhD
💥An introduction to data integration and statistical methods used in contemporary Systems Biology, Bioinformatics and Systems Pharmacology research. The course covers methods to process raw data from genome-wide mRNA expression studies (microarrays and RNA-seq) including data normalization, differential expression, clustering, enrichment analysis and network construction. The course contains practical tutorials for using tools and setting up pipelines, but it also covers the mathematics behind the methods applied within the tools. The course is mostly appropriate for beginning graduate students and advanced undergraduates majoring in fields such as biology, math, physics, chemistry, computer science, biomedical and electrical engineering. The course should be useful for researchers who encounter large datasets in their own research. The course presents software tools developed by the Ma’ayan Laboratory
📽 Watch
📲Channel: @ComplexNetworkAnalysis
#video #course #Biology
Coursera
Network Analysis in Systems Biology
Offered by Icahn School of Medicine at Mount Sinai. This ... Enroll for free.
👍10🔥1
📃Gastric cancer and genomics: review of literature
📘 Journal: Journal of Gastroenterology (I.F.=6.772)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #gastric #genomics
📘 Journal: Journal of Gastroenterology (I.F.=6.772)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #gastric #genomics
👍2🔥1
📚Two old but still valuable books:
📘 Python for Biologists
📕 Practical Computing for Biologists
📲Channel: @Bioinformatics
#book #python # programming #biologists
📘 Python for Biologists
📕 Practical Computing for Biologists
📲Channel: @Bioinformatics
#book #python # programming #biologists
👏12❤5🔥2👍1
Forwarded from Network Analysis Resources & Updates
📄Network-based machine learning and graph theory algorithms for precision oncology
📘Journal: npj Precision Oncology(I.F=10.092)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #machine_Learning #graph
📘Journal: npj Precision Oncology(I.F=10.092)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #machine_Learning #graph
👍4👏1
📖 A Primer for Computational Biology
💥 Free Ebook from Oregon State University
🌐 Study
📲Channel: @Bioinformatics
#book #computational_biology
💥 Free Ebook from Oregon State University
🌐 Study
📲Channel: @Bioinformatics
#book #computational_biology
👍10🔥4❤2
Forwarded from Network Analysis Resources & Updates
📄New perspectives on analysing data from biological collections based on social network analytics
📘Journal: Scientific Reports (I.F=4.996)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #biological
📘Journal: Scientific Reports (I.F=4.996)
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #biological
👍6❤2
Forwarded from Network Analysis Resources & Updates
📄Multilayer networks: aspects, implementations, and application in biomedicine
📘Journal: Big Data Analytics
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #application #biomedicine
📘Journal: Big Data Analytics
🗓Publish year: 2020
📎Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #application #biomedicine
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📑 Open Problems in Mathematical Biology
🗓Publish year: 2022
💥 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.
📎 Study the paper
📲Channel: @Bioinformatics
#mathematics
🗓Publish year: 2022
💥 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.
📎 Study the paper
📲Channel: @Bioinformatics
#mathematics
👍8
📄Ten simple rules for teaching yourself R
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#R
📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#R
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🏢 3rd Bioinformatics and Biodiversity Conferences (BBC) x 6th International Symposium on Bioinformatics (InSyb)
💥Theme: " Omics Study for Environment and Human Health "
🗓 Date: November 5-6, 2022
📍Location: Virtual via Zoom
🖇Website: More information and Registration
☎️ Contact: https://wa.me/6287874159377
📲Channel: @Bioinformatics
#conference
💥Theme: " Omics Study for Environment and Human Health "
🗓 Date: November 5-6, 2022
📍Location: Virtual via Zoom
🖇Website: More information and Registration
☎️ Contact: https://wa.me/6287874159377
📲Channel: @Bioinformatics
#conference
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👨🏫 Complete, free Genomics course (Lecture notes, recordings, assignments and tests!)
💎Course 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
📲Channel: @Bioinformatics
☕️ Buy me a coffee
#course #genomics
💎Course 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
📲Channel: @Bioinformatics
☕️ Buy me a coffee
#course #genomics
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📃 A survey of machine learning techniques for prediction of drug side effects
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#drug #side_effect #machine_learning
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#drug #side_effect #machine_learning
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Forwarded from Network Analysis Resources & Updates
🎞 Introduction to Pathway and Network Analysis
💥Free recorded lecture by Juri Reimand
💥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.
📽 Watch
📱Channel: @ComplexNetworkAnalysis
#video #Pathway #networks_science
💥Free recorded lecture by Juri Reimand
💥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.
📽 Watch
📱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.…
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📖 Basics of Bioinformatics
💥Lecture Notes of the Graduate Summer School on Bioinformatics of China
🔰 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
📲Channel: @Bioinformatics
#book
⚠ Please use a different browser than chrome if you encounter download or opening error
💥Lecture Notes of the Graduate Summer School on Bioinformatics of China
🔰 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
📲Channel: @Bioinformatics
#book
⚠ Please use a different browser than chrome if you encounter download or opening error
👍18👏6❤2🙏2🔥1
Forwarded from Network Analysis Resources & Updates
📕 Analysis of Biological Networks
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Biological_Networks
📎 Study the book
📱Channel: @ComplexNetworkAnalysis
#book #Biological_Networks
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