📰Artificial Intelligence for facilitated drug discovery
🗓Publish date: September 13, 2022
📎 Technical paper
📲Channel: @Bioinformatics
🗓Publish date: September 13, 2022
📎 Technical paper
📲Channel: @Bioinformatics
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🏛Bioinformatics Course Lectures
💥17 recorded sessions from the California State University, Monterey Bay course BIO410/510 Bioinformatics
🗓Publish date: September, 2021
🎞 Course videos in YouTube
🔹 Some Contents:
▫️ What is genome
▫️ Sequencing technology
▫️ Molecular evolution
▫️ Pairwise sequence alignment
▫️ Phylogenetics and molecular clocks
▫️ Genome Assembly
▫️ Genome Annotation
▫️Genetic Variation, GWAS
▫️Hidden Markov Models
▫️Extreme Value Distribution and BLAST
📲Channel: @Bioinformatics
#video #course
💥17 recorded sessions from the California State University, Monterey Bay course BIO410/510 Bioinformatics
🗓Publish date: September, 2021
🎞 Course videos in YouTube
🔹 Some Contents:
▫️ What is genome
▫️ Sequencing technology
▫️ Molecular evolution
▫️ Pairwise sequence alignment
▫️ Phylogenetics and molecular clocks
▫️ Genome Assembly
▫️ Genome Annotation
▫️Genetic Variation, GWAS
▫️Hidden Markov Models
▫️Extreme Value Distribution and BLAST
📲Channel: @Bioinformatics
#video #course
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📄Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future
📘 Journal: Cancer Cell International (I.F.=6.436)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #machine_learning
📘 Journal: Cancer Cell International (I.F.=6.436)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#review #cancer #machine_learning
👍11
📃Machine Learning Approaches for Protein–Protein Interaction Hot Spot Prediction: Progress and Comparative Assessment
📘 Journal: Molecules (I.F.=4.927)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#ppi #machine_learning
📘 Journal: Molecules (I.F.=4.927)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#ppi #machine_learning
👍3
📑A picture is worth a thousand base pairs
💥A review of Genome Browsers
📘 Journal: Nature-Technology Features (I.F.=63.58)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#genomic #tool #visualization
💥A review of Genome Browsers
📘 Journal: Nature-Technology Features (I.F.=63.58)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#genomic #tool #visualization
Nature
A picture is worth a thousand base pairs
Nature - A small but powerful toolset makes sharing genomic data visualizations straightforward.
👍3
📃A guide to systems-level immunomics
📘 Journal: Nature Immunology (I.F.=31.003)
🗓Publish year: September 22, 2022
📎 Study the paper
📲Channel: @Bioinformatics
#immunomics
📘 Journal: Nature Immunology (I.F.=31.003)
🗓Publish year: September 22, 2022
📎 Study the paper
📲Channel: @Bioinformatics
#immunomics
👍2❤1
Forwarded from Network Analysis Resources & Updates
📄Challenges and Limitations of Biological Network Analysis
📘Journal: BioTech
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Biological
📘Journal: BioTech
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #Biological
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💥Introductory bioinformatics Q&A session: genes and gene expression💥
🧑💻Free webinar from EMBL-EBI training
🗓 Date: October 5, 2022
🕖 Time: 15:30-16:30 BST
📍 Location: Online, Zoom
✍🏻 Details and Registration
📲Channel: @Bioinformatics
#webinar #gene
🧑💻Free webinar from EMBL-EBI training
🗓 Date: October 5, 2022
🕖 Time: 15:30-16:30 BST
📍 Location: Online, Zoom
✍🏻 Details and Registration
📲Channel: @Bioinformatics
#webinar #gene
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💥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
👍7
👨💻 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
👍2❤1
📑 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
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