π Navigating the pitfalls of applying machine learning in genomics
π Journal: Nature Reviews Genetics (π₯I.F.=59.581)
πPublish year: 2022
π Study paper
π²Channel: @Bioinformatics
#review #machine_learning #genomics
π Journal: Nature Reviews Genetics (π₯I.F.=59.581)
πPublish year: 2022
π Study paper
π²Channel: @Bioinformatics
#review #machine_learning #genomics
π6β€1
π§βπ«Learn Bioinformatics Online: Top Courses & Classes
π Study the article
π²Channel: @Bioinformatics
#course #certificate
π Study the article
π²Channel: @Bioinformatics
#course #certificate
π12π₯3
π A Review of Mathematical and Computational Methods in Cancer Dynamics
πPublish year: 2022
π Study paper
π²Channel: @Bioinformatics
#review #cancer #dynamics
πPublish year: 2022
π Study paper
π²Channel: @Bioinformatics
#review #cancer #dynamics
π4
π©βπ»Virtual workshop on Introduction to fundamentals and Bash Scripting for Genomics.
This two-day workshop focuses on the basics of genomics and using Linux for genomics. Further, It will provide concepts, and hands-on training on Linux commands scripts and basics of genomics, such as designing experiments, accessing datasets from different databases, and data uploading to resources like NCBI.
πOur speakers, Dr. Meenakshi I (NCBS, India) & Dr.Samdani A (ICOA, France), carry Ph.D. degrees in Bioinformatics with rich of experience in Genomics.
βοΈWho can apply?
Anyone interested in learning the basics of Linux and genomics study design and managing sequencing data. The workshop assumes that learners have no or little experience with Linux systems
β³οΈIt is free for Undergraduate students.
π¨βπ»For more info & registration, visit our site at
https://www.nyberman.com/internship-trainings/workshop
π²Channel: @Bioinformatics
This two-day workshop focuses on the basics of genomics and using Linux for genomics. Further, It will provide concepts, and hands-on training on Linux commands scripts and basics of genomics, such as designing experiments, accessing datasets from different databases, and data uploading to resources like NCBI.
πOur speakers, Dr. Meenakshi I (NCBS, India) & Dr.Samdani A (ICOA, France), carry Ph.D. degrees in Bioinformatics with rich of experience in Genomics.
βοΈWho can apply?
Anyone interested in learning the basics of Linux and genomics study design and managing sequencing data. The workshop assumes that learners have no or little experience with Linux systems
β³οΈIt is free for Undergraduate students.
π¨βπ»For more info & registration, visit our site at
https://www.nyberman.com/internship-trainings/workshop
π²Channel: @Bioinformatics
π9β€4
π°Artificial Intelligence for facilitated drug discovery
πPublish date: September 13, 2022
π Technical paper
π²Channel: @Bioinformatics
πPublish date: September 13, 2022
π Technical paper
π²Channel: @Bioinformatics
π5π₯1
πBioinformatics Course Lectures
π₯17 recorded sessions from the California State University, Monterey Bay course BIO410/510 Bioinformatics
πPublish date: September, 2021
π Course videos in YouTube
πΉ Some Contents:
β«οΈ What is genome
β«οΈ Sequencing technology
β«οΈ Molecular evolution
β«οΈ Pairwise sequence alignment
β«οΈ Phylogenetics and molecular clocks
β«οΈ Genome Assembly
β«οΈ Genome Annotation
β«οΈGenetic Variation, GWAS
β«οΈHidden Markov Models
β«οΈExtreme Value Distribution and BLAST
π²Channel: @Bioinformatics
#video #course
π₯17 recorded sessions from the California State University, Monterey Bay course BIO410/510 Bioinformatics
πPublish date: September, 2021
π Course videos in YouTube
πΉ Some Contents:
β«οΈ What is genome
β«οΈ Sequencing technology
β«οΈ Molecular evolution
β«οΈ Pairwise sequence alignment
β«οΈ Phylogenetics and molecular clocks
β«οΈ Genome Assembly
β«οΈ Genome Annotation
β«οΈGenetic Variation, GWAS
β«οΈHidden Markov Models
β«οΈExtreme Value Distribution and BLAST
π²Channel: @Bioinformatics
#video #course
π26
πClinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future
π Journal: Cancer Cell International (I.F.=6.436)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #machine_learning
π Journal: Cancer Cell International (I.F.=6.436)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #machine_learning
π11
πMachine Learning Approaches for ProteinβProtein Interaction Hot Spot Prediction: Progress and Comparative Assessment
π Journal: Molecules (I.F.=4.927)
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
#ppi #machine_learning
π Journal: Molecules (I.F.=4.927)
πPublish year: 2018
π Study the paper
π²Channel: @Bioinformatics
#ppi #machine_learning
π3
πA picture is worth a thousand base pairs
π₯A review of Genome Browsers
π Journal: Nature-Technology Features (I.F.=63.58)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#genomic #tool #visualization
π₯A review of Genome Browsers
π Journal: Nature-Technology Features (I.F.=63.58)
πPublish year: 2019
π Study the paper
π²Channel: @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.
π3
πA guide to systems-level immunomics
π Journal: Nature Immunology (I.F.=31.003)
πPublish year: September 22, 2022
π Study the paper
π²Channel: @Bioinformatics
#immunomics
π Journal: Nature Immunology (I.F.=31.003)
πPublish year: September 22, 2022
π Study the paper
π²Channel: @Bioinformatics
#immunomics
π2β€1
Forwarded from Network Analysis Resources & Updates
πChallenges and Limitations of Biological Network Analysis
πJournal: BioTech
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Biological
πJournal: BioTech
πPublish year: 2022
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #Biological
π9
π₯Introductory bioinformatics Q&A session: genes and gene expressionπ₯
π§βπ»Free webinar from EMBL-EBI training
π Date: October 5, 2022
π Time: 15:30-16:30 BST
π Location: Online, Zoom
βπ» Details and Registration
π²Channel: @Bioinformatics
#webinar #gene
π§βπ»Free webinar from EMBL-EBI training
π Date: October 5, 2022
π Time: 15:30-16:30 BST
π Location: Online, Zoom
βπ» Details and Registration
π²Channel: @Bioinformatics
#webinar #gene
π14π1
π₯INTERNATIONAL VIRTUAL INTERNSHIP IN STRUCTURAL BIOINFORMATICS AND GENOMICSπ₯
π―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.
π¨π»βπΌπ©βπ« 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
π©βπQualifications:
Anyone interested in excelling in Structural Bioinformatics & Genomics domains
π°Payment and Package details
π Register for
πStructural Bioinformatics
πGenomics
π²Channel: @Bioinformatics
#internship #strcturebioinfo #ngs #rnaseq #omics
π―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.
π¨π»βπΌπ©βπ« 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
π©βπQualifications:
Anyone interested in excelling in Structural Bioinformatics & Genomics domains
π°Payment and Package details
π Register for
πStructural Bioinformatics
πGenomics
π²Channel: @Bioinformatics
#internship #strcturebioinfo #ngs #rnaseq #omics
π7
π¨βπ» Fully Funded PhD Research Scholarship in Thailand 2023
π₯PhD Student Position in Plant Systems Biology & Bioinformatics
βΉοΈ More information
π¬ Contact:
Assoc. Prof. Dr. Treenut Saithong βοΈ[email protected]
Asst. Prof. Dr. Saowalak Kalapanulak βοΈ[email protected]
π²Channel: @Bioinformatics
#scholarship #phd #Thailand
π₯PhD Student Position in Plant Systems Biology & Bioinformatics
βΉοΈ More information
π¬ Contact:
Assoc. Prof. Dr. Treenut Saithong βοΈ[email protected]
Asst. Prof. Dr. Saowalak Kalapanulak βοΈ[email protected]
π²Channel: @Bioinformatics
#scholarship #phd #Thailand
π7π₯1
Forwarded from Network Analysis Resources & Updates
π Network Analysis in Systems Biology
π₯Free recorded course by Avi Maβayan, PhD
π₯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 Maβayan Laboratory
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #course #Biology
π₯Free recorded course by Avi Maβayan, PhD
π₯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 Maβayan Laboratory
π½ Watch
π²Channel: @ComplexNetworkAnalysis
#video #course #Biology
Coursera
Network Analysis in Systems Biology
Offered by Icahn School of Medicine at Mount Sinai. This ... Enroll for free.
π10π₯1
πGastric cancer and genomics: review of literature
π Journal: Journal of Gastroenterology (I.F.=6.772)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #gastric #genomics
π Journal: Journal of Gastroenterology (I.F.=6.772)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #gastric #genomics
π2π₯1
πTwo old but still valuable books:
π Python for Biologists
π Practical Computing for Biologists
π²Channel: @Bioinformatics
#book #python # programming #biologists
π Python for Biologists
π Practical Computing for Biologists
π²Channel: @Bioinformatics
#book #python # programming #biologists
π12β€5π₯2π1
Forwarded from Network Analysis Resources & Updates
πNetwork-based machine learning and graph theory algorithms for precision oncology
πJournal: npj Precision Oncology(I.F=10.092)
πPublish year: 2017
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #machine_Learning #graph
πJournal: npj Precision Oncology(I.F=10.092)
πPublish year: 2017
πStudy paper
π²Channel: @ComplexNetworkAnalysis
#paper #machine_Learning #graph
π4π1
π A Primer for Computational Biology
π₯ Free Ebook from Oregon State University
π Study
π²Channel: @Bioinformatics
#book #computational_biology
π₯ Free Ebook from Oregon State University
π Study
π²Channel: @Bioinformatics
#book #computational_biology
π10π₯4β€2