Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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๐Ÿ’ฅIntroduction to EMBL-EBI for teachers and trainers๐Ÿ’ฅ
๐Ÿง‘โ€๐Ÿ’ปFree webinar from EMBL-EBI training

๐Ÿ—“ Date: January 18, 2022
๐Ÿ•– Time: 15:30 - 16:30 ( GMT )
๐Ÿ“ Location: Online, Zoom

โœ๐Ÿป Details and Registration

๐Ÿ“ฒChannel: @Bioinformatics
#webinar
๐Ÿ‘8โค1
๐ŸŽ“Identifying disease-associated genes based on artificial intelligence

๐Ÿ“˜PhD Thesis from University of Saskatchewan, Canada

๐Ÿ—“Publish year: 2019

๐Ÿ“Ž Study thesis

๐Ÿ“ฒChannel: @Bioinformatics
#thesis #disease #gene
๐Ÿ‘8โค1
๐Ÿ“•Using Machine Learning to Understand Text for Pharmacovigilance: A Systematic Review
๐Ÿ’ฅMSc degree project research, Luleรฅ University of Technology, Sweden

๐Ÿ—“Publish
year: 2021

๐Ÿ“Ž Study

๐Ÿ“ฒChannel: @Bioinformatics
#thesis #pharmacovigilance #ml
๐Ÿ“„A Survey on Methods for Predicting Polyadenylation Sites from DNA Sequences, Bulk RNA-seq, and Single-cell RNA-seq

๐Ÿ“˜Journal: Genomics, Proteomics and Bioinformatics (GPB) (I.F.=6.409)
๐Ÿ—“Publish year: 2022

๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#review #prediction #polyadenylation
๐Ÿ‘1
๐Ÿ“ƒA comprehensive survey on computational learning methods for analysis of gene expression data

๐Ÿ“˜Journal: Frontiers in Molecular Biosciences (I.F.=6.113)
๐Ÿ—“Publish year: 2022

๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#review #gene_expression #computational
๐Ÿ‘1
๐Ÿง‘โ€๐Ÿซ Free online 2days workshop
Implementing Genomic Research Projects

๐Ÿ—“ Date: Feb 1 and Feb 2, 2023
๐Ÿ•ฐTime: 13 - 16h30 CET

โ„น๏ธ Details
โœ๐Ÿป Registration

๐Ÿ“ฒChannel: @Bioinformatics
#workshop #genomic
๐Ÿ‘16โค2
๐Ÿข Basel Computational Biology Conference
๐Ÿ’ฅTheme: "Big data in biology promises and challenges"

๐Ÿ—“ Date: 11 - 13 September 2023

๐Ÿ“Location: Basel, Switzerland

๐Ÿ–‡Website:
https://www.bc2.ch

๐Ÿ“ฒChannel: @Bioinformatics
#conference #basel
๐Ÿ‘8๐Ÿ‘2
๐Ÿ“„Computational methods to predict protein aggregation

๐Ÿ“˜Journal: Current Opinion in Structural Biology (I.F.=7.786)
๐Ÿ—“Publish year: 2022

๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#review #protein #aggregation
๐Ÿ‘8
๐Ÿ“ƒComparison of Metagenomics and Metatranscriptomics Tools: A Guide to Making the Right Choice

๐Ÿ“˜Journal: Gene (I.F.=4.141)
๐Ÿ—“Publish year: 2022

๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#Metagenomics #Metatranscriptomics
๐Ÿ‘13๐Ÿ”ฅ2๐Ÿ™1
๐Ÿ“‘Computational Methods for Prediction of Human Protein-Phenotype Associations: A Review

๐Ÿ“˜Journal: Phenomics
๐Ÿ—“Publish year: 2021

๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#review #protein #phenotype
๐Ÿ‘4
๐Ÿ“ƒRecent Advances of Deep Learning in Bioinformatics and Computational Biology

๐Ÿ“˜Journal: Frontiers in Genetics (I.F.=4.772)
๐Ÿ—“Publish year: 2019

๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#deep_learning
๐Ÿ‘10
๐Ÿ“š Bioinformatics Education and Training Collection
๐Ÿ’ฅfrom F1000Research

๐Ÿ”ธContaining:
โ–ซ๏ธFull articles
โ–ซ๏ธBook of Abstracts
โ–ซ๏ธPosters
โ–ซ๏ธSlides

๐ŸŒ Collection link

๐Ÿ“ฒChannel: @Bioinformatics
#conference
๐Ÿ‘8
๐Ÿ“„Precision Medicine Informatics: Principles, Prospects, and Challenges

๐Ÿ“˜Journal: IEEE Access (I.F.=3.367)
๐Ÿ—“Publish year: 2019

๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#survey #Precision_Medicine
๐Ÿ‘14
๐Ÿ‘จโ€๐Ÿซ Introduction to Systems biology
๐Ÿ’ฅ Recorded course from Weizmann Institute of Science

๐ŸŽž First session
๐Ÿ“ฝ Full course videos

๐Ÿ“ฒChannel: @Bioinformatics
#video #course #systems_biology
๐Ÿ‘10
๐Ÿ“ƒTemporal networks in biology and medicine: a survey on models, algorithms, and tools

๐Ÿ“˜Journal: Network Modeling Analysis in Health Informatics and Bioinformatics
๐Ÿ—“Publish year: 2022

๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#review #network #temporal
๐Ÿ‘7
๐Ÿ‘จโ€๐Ÿ’ป MSc position at SBNA (Social & Biological Network Analysis) Lab
๐Ÿ’ฅ Network Biology & Biological Network Analysis
๐Ÿ‡ฎ๐Ÿ‡ท Language: IR

๐ŸŒ Details

๐Ÿ“ฒChannel: @Bioinformatics
๐Ÿ“‘Turning genome-wide association study findings into opportunities for drug repositioning

๐Ÿ’ฅFrom 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.

๐Ÿ“˜Journal
: Computational and Structural Biotechnology Journal (I.F.=6.155)
๐Ÿ—“Publish year: June, 2020


๐Ÿ“Ž Study the paper

๐Ÿ“ฒChannel: @Bioinformatics
#review #gwas #drug_reproposing
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