Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ“„Graph Representation Learning in Biomedicine

πŸ—“Publish year: 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#graph #biomedicine
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🎞Sequencing Data Analysis: Introduction to Key Concepts

πŸ’₯Topics:
▫️Experimental design
▫️Key bioinformatics concepts such as alignment, variant calling, de novo assembly and RNA Seq analysis
▫️Highlight Illumina software tools used in these pipelines

πŸ“½ Watch

πŸ“²Channel: @Bioinformatics
#video
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (2022)

πŸ”— Download Link:
https://filewebster.com/files/download/MTY1MzcyNzM1OF8yNTc5

βœ… Our Channels πŸ‘‡πŸ‘‡πŸ‘‡
1⃣ @DataScience_Books
2⃣ @CodeProgrammer
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πŸ“‘Computational medicine: quantitative modeling of complex diseases

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

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#review #medicine #diease
πŸ‘4πŸ‘1
πŸŽ“Predicting potential drugs and drug-drug interactions for drug repositioning

πŸ“˜PhD's thesis from University of Saskatchewan, Canada

πŸ—“Publish year: 2022

πŸ“ŽStudy thesis

πŸ“²Channel: @Bioinformatics
#thesis #drug
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πŸ“ƒChallenges and Limitations of Biological Network Analysis

πŸ“˜Journal: BioTech
πŸ—“Publish year: 7 July 2022

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#review #ppi #pathways
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πŸ“‘ A guide to performing systematic literature reviews in bioinformatics

πŸ“˜Publisher: Laboratory of Bioinformatics and Systems (LBS), Department of Computer Science, Federal University of Minas Gerais, Brazil

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics
#guide #review
πŸ‘2
2020_A_paradigm_shift_in_medicine_A_comprehensive_review_of_network.pdf
1.3 MB
πŸ“„A paradigm shift in medicine: A comprehensive review of network-based approaches

πŸ“˜
Journal: Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms (I.F=6.304 )

πŸ—“Publish year: 2020

πŸ“Ž Study paper

πŸ“±Channel: @ComplexNetworkAnalysis
#paper #medicine #review
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πŸ‘¨β€πŸ« Registration is open to Joint one month Bioinformatics Workshop by DE<code>LIFE 🧬 and Premas Life Sciences Private limited.

πŸ’₯ Next Generation Sequencing Analysis πŸ’₯

πŸ—“ Duration: 22 July- 18 August, 2022

✍️ Registration Link
https://decodelife.co.in

πŸ’² Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

πŸ’₯Key Features:
▫️ 21 sessions with approximately 30 hrs of learning.
▫️E- Certificate of Participation.

❓ Frequently asked questions
https://decodelife.co.in/faq/

πŸ“²Channel: @Bioinformatics
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πŸ“ƒData mining in clinical big data: the frequently used databases, steps, and methodological models

πŸ“˜Journal: Military Medical Research (I.F.=34.915)
πŸ—“Publish year: 2021

πŸ“Ž Study the paper

πŸ“²Channel: @Bioinformatics

#review #clinical #data_mining
πŸ‘3πŸ”₯1
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
πŸ‘2
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
πŸ‘7
πŸ““ An Introduction to Applied Bioinformatics
πŸ’₯Free online book with python examples

🌐 Study the book

πŸ“²Channel: @Bioinformatics
#book #python
πŸ‘13πŸ”₯1
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
πŸ‘2
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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