πComputational medicine: quantitative modeling of complex diseases
πJournal: Briefings in Bioinformatics (I.F.=13.994)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #medicine #diease
πJournal: Briefings in Bioinformatics (I.F.=13.994)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #medicine #diease
π4π1
πPredicting potential drugs and drug-drug interactions for drug repositioning
πPhD's thesis from University of Saskatchewan, Canada
πPublish year: 2022
πStudy thesis
π²Channel: @Bioinformatics
#thesis #drug
πPhD's thesis from University of Saskatchewan, Canada
πPublish year: 2022
πStudy thesis
π²Channel: @Bioinformatics
#thesis #drug
β€7
πChallenges and Limitations of Biological Network Analysis
πJournal: BioTech
πPublish year: 7 July 2022
π Study the paper
π²Channel: @Bioinformatics
#review #ppi #pathways
πJournal: BioTech
πPublish year: 7 July 2022
π Study the paper
π²Channel: @Bioinformatics
#review #ppi #pathways
π5
π A guide to performing systematic literature reviews in bioinformatics
πPublisher: Laboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Federal University of Minas Gerais, Brazil
π Study the paper
π²Channel: @Bioinformatics
#guide #review
πPublisher: Laboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Federal University of Minas Gerais, Brazil
π Study the paper
π²Channel: @Bioinformatics
#guide #review
π2
Forwarded from Network Analysis Resources & Updates
2020_A_paradigm_shift_in_medicine_A_comprehensive_review_of_network.pdf
1.3 MB
πA paradigm shift in medicine: A comprehensive review of network-based approaches
πJournal: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (I.F=6.304 )
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #medicine #review
πJournal: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (I.F=6.304 )
πPublish year: 2020
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #medicine #review
π3
π¨βπ« Registration is open to Joint one month Bioinformatics Workshop by DE<code>LIFE 𧬠and Premas Life Sciences Private limited.
π₯ Next Generation Sequencing Analysis π₯
π Duration: 22 July- 18 August, 2022
βοΈ Registration Link
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Key Features:
β«οΈ 21 sessions with approximately 30 hrs of learning.
β«οΈE- Certificate of Participation.
β Frequently asked questions
https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
π₯ Next Generation Sequencing Analysis π₯
π Duration: 22 July- 18 August, 2022
βοΈ Registration Link
https://decodelife.co.in
π² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants
π₯Key Features:
β«οΈ 21 sessions with approximately 30 hrs of learning.
β«οΈE- Certificate of Participation.
β Frequently asked questions
https://decodelife.co.in/faq/
π²Channel: @Bioinformatics
π9π1
πData mining in clinical big data: the frequently used databases, steps, and methodological models
πJournal: Military Medical Research (I.F.=34.915)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #clinical #data_mining
πJournal: Military Medical Research (I.F.=34.915)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #clinical #data_mining
π3π₯1
πPersonal Health Records: A Systematic Literature Review
πJournal: Journal of Medical Internet Research (I.F.=7.076)
πPublish year: 2017
π Study the paper
π²Channel: @Bioinformatics
#review #phr
πJournal: Journal of Medical Internet Research (I.F.=7.076)
πPublish year: 2017
π Study the paper
π²Channel: @Bioinformatics
#review #phr
π2
πTutorial series for visualizing and interpreting omic data
π Go to website
π²Channel: @Bioinformatics
#visualization #omic
π Go to website
π²Channel: @Bioinformatics
#visualization #omic
π11β€5
πFeature selection methods and genomic big data: a systematic review
πJournal: Journal of Big Data (I.F.=10.835)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #genomic #feature_selection
πJournal: Journal of Big Data (I.F.=10.835)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#review #genomic #feature_selection
π7
π An Introduction to Applied Bioinformatics
π₯Free online book with python examples
π Study the book
π²Channel: @Bioinformatics
#book #python
π₯Free online book with python examples
π Study the book
π²Channel: @Bioinformatics
#book #python
π13π₯1
πImpact of computational approaches in the fight against COVID-19: an AI guided review of 17000 studies
πJournal: Briefings in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #covid-19
πJournal: Briefings in Bioinformatics (I.F.=13.994)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #covid-19
π2
πInterpretation of differential gene expression results of RNA-seq data: review and integration
πJournal: Briefings in Bioinformatics (I.F.=13.994)
πPublish year: 2019
π₯Abstract:
Differential gene expression (DGE) analysis is one of the most common applications of RNA-sequencing (RNA-seq) data. Interpretation of the DGE results can be nonintuitive and time consuming due to the variety of formats based on the tool of choice and the numerous pieces of information provided in these results files. Here we reviewed DGE results analysis from a functional point of view for various visualizations. We also provide an R/Bioconductor package, Visualization of Differential Gene Expression Results using R, Cuffdiff, DESeq2 and edgeR. The implemented functions are also tested on five real-world data sets, consisting of one human, one Malus domestica and three Vitis riparia data sets.
π Study the paper
π²Channel: @Bioinformatics
#review #DEG
πJournal: Briefings in Bioinformatics (I.F.=13.994)
πPublish year: 2019
π₯Abstract:
Differential gene expression (DGE) analysis is one of the most common applications of RNA-sequencing (RNA-seq) data. Interpretation of the DGE results can be nonintuitive and time consuming due to the variety of formats based on the tool of choice and the numerous pieces of information provided in these results files. Here we reviewed DGE results analysis from a functional point of view for various visualizations. We also provide an R/Bioconductor package, Visualization of Differential Gene Expression Results using R, Cuffdiff, DESeq2 and edgeR. The implemented functions are also tested on five real-world data sets, consisting of one human, one Malus domestica and three Vitis riparia data sets.
π Study the paper
π²Channel: @Bioinformatics
#review #DEG
π11
πAccelerating Drug Discovery with Machine Learning and AI
π₯Recorded Seminar
π½ Watch
π²Channel: @Bioinformatics
#video #drug #ai
π₯Recorded Seminar
π½ Watch
π²Channel: @Bioinformatics
#video #drug #ai
YouTube
Olexandr Isayev - Accelerating Drug Discovery with Machine Learning and AI
Presented on 2/4/2021
Deep learning is revolutionizing many areas of science and technology, particularly in natural language processing, speech recognition, and computer vision. In this talk, we will provide an overview of the latest developments of machineβ¦
Deep learning is revolutionizing many areas of science and technology, particularly in natural language processing, speech recognition, and computer vision. In this talk, we will provide an overview of the latest developments of machineβ¦
π5
πComputational drug repurposing based on electronic health records: a scoping review
πJournal: npj Digital Medicine (I.F.=15.357)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #drug #reproposing
πJournal: npj Digital Medicine (I.F.=15.357)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #drug #reproposing
π2
We are delighted to inform our
Two days Virtual Hands-on Training Workshop on "Membrane Protein Simulations using CHARMM-GUIβ πWorkshop Features:
- The workshop focuses on membrane Protein Simulations using CHARMM-GUI.
- Hands-on training and examples will be provided based on GROMACS software.
- The post Workshop Assessment Free Merit Seats will be given upon strict evolutions.
- Certifications will be provided for all the participants.
π₯Trainers
Trained by highly skilled trainers
π©βπMs. Hemavathy Nagarajan, India
π¨βπ»Dr. Shiv Bharadwaj, Prague Czech Republic
πFour different Modules to be covered
π₯Number Of Seats?
- 10 Post Workshop Assessment Free-Merit seats
- 30 Paid Seats (25 Euros / 2000 βΉ)
πFor More Info & π¨βπ»Register
https://www.nyberman.com/merit-workshops
π’«««««««
Channel @llbschool
Forum @letslearnbioinformatics
π²Channel: @Bioinformatics
π6β€2π1
π A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19
πJournal: Biomedicine & Pharmacotherapy (I.F.=7.419)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #ai #reproposing #covid19
πJournal: Biomedicine & Pharmacotherapy (I.F.=7.419)
πPublish year: 2022
π Study the paper
π²Channel: @Bioinformatics
#review #ai #reproposing #covid19
π7