๐ฅIntroduction to EMBL-EBI for teachers and trainers๐ฅ
๐งโ๐ปFree webinar from EMBL-EBI training
๐ Date: January 18, 2022
๐ Time: 15:30 - 16:30 ( GMT )
๐ Location: Online, Zoom
โ๐ป Details and Registration
๐ฒChannel: @Bioinformatics
#webinar
๐งโ๐ปFree webinar from EMBL-EBI training
๐ Date: January 18, 2022
๐ Time: 15:30 - 16:30 ( GMT )
๐ Location: Online, Zoom
โ๐ป Details and Registration
๐ฒChannel: @Bioinformatics
#webinar
๐8โค1
๐Identifying disease-associated genes based on artificial intelligence
๐PhD Thesis from University of Saskatchewan, Canada
๐Publish year: 2019
๐ Study thesis
๐ฒChannel: @Bioinformatics
#thesis #disease #gene
๐PhD Thesis from University of Saskatchewan, Canada
๐Publish year: 2019
๐ Study thesis
๐ฒChannel: @Bioinformatics
#thesis #disease #gene
๐8โค1
๐ปOne of the easiest molecular docking solutions online:
๐ฅDraw your ligand, select your target and click on Dock!
๐ Watch the clip
๐ฒChannel: @Bioinformatics
#video #docking
๐ฅDraw your ligand, select your target and click on Dock!
๐ Watch the clip
๐ฒChannel: @Bioinformatics
#video #docking
YouTube
How to do 1 click docking: mcule
#PymolBiomoleculesTutorials
Mcule.com is the online drug discovery platform. It offers a unique solution for pharma and biotech companies by providing molecular modeling tools, hit identification, hit expansion, lead optimization. and a database of 100+ millionโฆ
Mcule.com is the online drug discovery platform. It offers a unique solution for pharma and biotech companies by providing molecular modeling tools, hit identification, hit expansion, lead optimization. and a database of 100+ millionโฆ
๐7โค2๐1๐ฅ1
๐Using Machine Learning to Understand Text for Pharmacovigilance: A Systematic Review
๐ฅMSc degree project research, Luleรฅ University of Technology, Sweden
๐Publish year: 2021
๐ Study
๐ฒChannel: @Bioinformatics
#thesis #pharmacovigilance #ml
๐ฅMSc degree project research, Luleรฅ University of Technology, Sweden
๐Publish year: 2021
๐ Study
๐ฒChannel: @Bioinformatics
#thesis #pharmacovigilance #ml
๐A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-seq, and Single-cell RNA-seq
๐Journal: Genomics, Proteomics and Bioinformatics (GPB) (I.F.=6.409)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #prediction #polyadenylation
๐Journal: Genomics, Proteomics and Bioinformatics (GPB) (I.F.=6.409)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #prediction #polyadenylation
๐1
๐A comprehensive survey on computational learning methods for analysis of gene expression data
๐Journal: Frontiers in Molecular Biosciences (I.F.=6.113)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gene_expression #computational
๐Journal: Frontiers in Molecular Biosciences (I.F.=6.113)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gene_expression #computational
๐1
๐งโ๐ซ Free online 2days workshop
Implementing Genomic Research Projects
๐ Date: Feb 1 and Feb 2, 2023
๐ฐTime: 13 - 16h30 CET
โน๏ธ Details
โ๐ป Registration
๐ฒChannel: @Bioinformatics
#workshop #genomic
Implementing Genomic Research Projects
๐ Date: Feb 1 and Feb 2, 2023
๐ฐTime: 13 - 16h30 CET
โน๏ธ Details
โ๐ป Registration
๐ฒChannel: @Bioinformatics
#workshop #genomic
๐16โค2
๐ข Basel Computational Biology Conference
๐ฅTheme: "Big data in biology promises and challenges"
๐ Date: 11 - 13 September 2023
๐Location: Basel, Switzerland
๐Website:
https://www.bc2.ch
๐ฒChannel: @Bioinformatics
#conference #basel
๐ฅTheme: "Big data in biology promises and challenges"
๐ Date: 11 - 13 September 2023
๐Location: Basel, Switzerland
๐Website:
https://www.bc2.ch
๐ฒChannel: @Bioinformatics
#conference #basel
๐8๐2
๐Computational methods to predict protein aggregation
๐Journal: Current Opinion in Structural Biology (I.F.=7.786)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #protein #aggregation
๐Journal: Current Opinion in Structural Biology (I.F.=7.786)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #protein #aggregation
๐8
๐Comparison of Metagenomics and Metatranscriptomics Tools: A Guide to Making the Right Choice
๐Journal: Gene (I.F.=4.141)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#Metagenomics #Metatranscriptomics
๐Journal: Gene (I.F.=4.141)
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#Metagenomics #Metatranscriptomics
๐13๐ฅ2๐1
๐Computational Methods for Prediction of Human Protein-Phenotype Associations: A Review
๐Journal: Phenomics
๐Publish year: 2021
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #protein #phenotype
๐Journal: Phenomics
๐Publish year: 2021
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #protein #phenotype
๐4
๐Recent Advances of Deep Learning in Bioinformatics and Computational Biology
๐Journal: Frontiers in Genetics (I.F.=4.772)
๐Publish year: 2019
๐ Study the paper
๐ฒChannel: @Bioinformatics
#deep_learning
๐Journal: Frontiers in Genetics (I.F.=4.772)
๐Publish year: 2019
๐ Study the paper
๐ฒChannel: @Bioinformatics
#deep_learning
๐10
๐ Bioinformatics Education and Training Collection
๐ฅfrom F1000Research
๐ธContaining:
โซ๏ธFull articles
โซ๏ธBook of Abstracts
โซ๏ธPosters
โซ๏ธSlides
๐ Collection link
๐ฒChannel: @Bioinformatics
#conference
๐ฅfrom F1000Research
๐ธContaining:
โซ๏ธFull articles
โซ๏ธBook of Abstracts
โซ๏ธPosters
โซ๏ธSlides
๐ Collection link
๐ฒChannel: @Bioinformatics
#conference
๐8
๐Precision Medicine Informatics: Principles, Prospects, and Challenges
๐Journal: IEEE Access (I.F.=3.367)
๐Publish year: 2019
๐ Study the paper
๐ฒChannel: @Bioinformatics
#survey #Precision_Medicine
๐Journal: IEEE Access (I.F.=3.367)
๐Publish year: 2019
๐ Study the paper
๐ฒChannel: @Bioinformatics
#survey #Precision_Medicine
๐14
๐จโ๐ซ Introduction to Systems biology
๐ฅ Recorded course from Weizmann Institute of Science
๐ First session
๐ฝ Full course videos
๐ฒChannel: @Bioinformatics
#video #course #systems_biology
๐ฅ Recorded course from Weizmann Institute of Science
๐ First session
๐ฝ Full course videos
๐ฒChannel: @Bioinformatics
#video #course #systems_biology
YouTube
Systems biology course 2018 Uri Alon - Lecture 1 - Basic concepts
๐10
๐Temporal networks in biology and medicine: a survey on models, algorithms, and tools
๐Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #network #temporal
๐Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
๐Publish year: 2022
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #network #temporal
๐7
๐จโ๐ป MSc position at SBNA (Social & Biological Network Analysis) Lab
๐ฅ Network Biology & Biological Network Analysis
๐ฎ๐ท Language: IR
๐ Details
๐ฒChannel: @Bioinformatics
๐ฅ Network Biology & Biological Network Analysis
๐ฎ๐ท Language: IR
๐ Details
๐ฒChannel: @Bioinformatics
๐Turning genome-wide association study findings into opportunities for drug repositioning
๐ฅFrom abstract: Here we provide a comprehensive review of different computational approaches that employ GWAS data to guide drug repositioning. These methods include selecting top candidate genes from GWAS as drug targets, deducing drug candidates based on drug-drug and disease-disease similarities, searching for reversed expression profiles between drugs and diseases, pathway-based methods as well as approaches based on analysis of biological networks. Each method is illustrated with examples, and their respective strengths and limitations are discussed. We also discussed several areas for future research.
๐Journal: Computational and Structural Biotechnology Journal (I.F.=6.155)
๐Publish year: June, 2020
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gwas #drug_reproposing
๐ฅFrom abstract: Here we provide a comprehensive review of different computational approaches that employ GWAS data to guide drug repositioning. These methods include selecting top candidate genes from GWAS as drug targets, deducing drug candidates based on drug-drug and disease-disease similarities, searching for reversed expression profiles between drugs and diseases, pathway-based methods as well as approaches based on analysis of biological networks. Each method is illustrated with examples, and their respective strengths and limitations are discussed. We also discussed several areas for future research.
๐Journal: Computational and Structural Biotechnology Journal (I.F.=6.155)
๐Publish year: June, 2020
๐ Study the paper
๐ฒChannel: @Bioinformatics
#review #gwas #drug_reproposing
๐5