Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“ƒPersonal Health Records: A Systematic Literature Review

πŸ“˜Journal: Journal of Medical Internet Research (I.F.=7.076)
πŸ—“Publish year: 2017

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #phr
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πŸ“•Tutorial series for visualizing and interpreting omic data

🌐 Go to website

πŸ“²Channel: @Bioinformatics
#visualization #omic
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πŸ“‘Feature selection methods and genomic big data: a systematic review

πŸ“˜Journal: Journal of Big Data (I.F.=10.835)
πŸ—“Publish year: 2019

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#review #genomic #feature_selection
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πŸ““ An Introduction to Applied Bioinformatics
πŸ’₯Free online book with python examples

🌐 Study the book

πŸ“²Channel: @Bioinformatics
#book #python
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πŸ“ƒImpact of computational approaches in the fight against COVID-19: an AI guided review of 17000 studies

πŸ“˜Journal: Briefings in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#review #covid-19
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πŸ“ƒInterpretation of differential gene expression results of RNA-seq data: review and integration

πŸ“˜Journal: Briefings in Bioinformatics (I.F.=13.994)
πŸ—“Publish year: 2019

πŸ’₯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.

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#review #DEG
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πŸ“„Computational drug repurposing based on electronic health records: a scoping review

πŸ“˜Journal: npj Digital Medicine (I.F.=15.357)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#review #drug #reproposing
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We are delighted to inform our
Two days Virtual Hands-on Training Workshop on "Membrane Protein Simulations using CHARMM-GUI”

πŸŒ€Workshop 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.

πŸ‘₯Trainers
Trained by highly skilled trainers
πŸ‘©β€πŸŽ“Ms. Hemavathy Nagarajan, India
πŸ‘¨β€πŸ’»Dr. Shiv Bharadwaj, Prague Czech Republic

πŸ“šFour different Modules to be covered

πŸ‘₯Number Of Seats?
- 10 Post Workshop Assessment Free-Merit seats
- 30 Paid Seats (25 Euros / 2000 β‚Ή)

🌐For More Info & πŸ‘¨β€πŸ’»Register
https://www.nyberman.com/merit-workshops

πŸ“’Β«Β«Β«Β«Β«Β«Β«
Channel @llbschool
Forum @letslearnbioinformatics

πŸ“²Channel: @Bioinformatics
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πŸ“ƒ A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19

πŸ“˜Journal: Biomedicine & Pharmacotherapy (I.F.=7.419)
πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#review #ai #reproposing #covid19
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πŸ“‘A 10-step guide to party conversation for bioinformaticians

πŸ“˜Journal: Genome Biology (I.F.=17.906)

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
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πŸ“ƒAlgorithmic complexity in computational biology: basics, challenges and limitations

πŸ“Ž
Study the paper

πŸ“²Channel: @Bioinformatics
#complexity
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πŸ“„Biological network analysis with deep learning

πŸ“˜
Journal:Briefings in Bioinformatics (I.F=13.994)

πŸ—“Publish year: 2021

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #Biological #deeplearning
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🎞 An introduction to the R programming language for Bioinformatics students
πŸ’₯From University of Michigan Computational Medicine and Bioinformatics

πŸ“½ Part 1
πŸ“½ Part 2

πŸ“²Channel: @Bioinformatics
#video #r
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πŸ“ƒInsights Into Organizing Events in Bioinformatics: From In-Person to the Online World

πŸ“˜Journal: Frontiers in Bioinformatics
πŸ—“Publish year: 2021

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#online #in_person #workshop
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πŸ‘¨β€πŸ’» Postdoc position of Computational Biology
at Humanitas Research Hospital

πŸ“²Channel: @Bioinformatics
#postdoc
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πŸ“‘Recent advances in network-based methods for disease gene prediction

πŸ“˜
Journal:Briefings in Bioinformatics (I.F=13.994)

πŸ—“Publish year: 2021

πŸ“Ž Study paper

πŸ“²Channel: @Bioinformatics
#survey #gene #disease #prediction
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