👨🏫Free online course: Introduction to Bioinformatics and Computational Biology
🗓 Date: 2022-04-05
🌐 Go to online course
📲Channel: @Bioinformatics
#course
🗓 Date: 2022-04-05
🌐 Go to online course
📲Channel: @Bioinformatics
#course
👍14❤6
📃A guide to machine learning for biologists
📘Journal: Nature Reviews Molecular Cell Biology (I.F.=94.444)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #machine_learning
📘Journal: Nature Reviews Molecular Cell Biology (I.F.=94.444)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #machine_learning
❤16👎3🔥2👍1
📑A practical guide to interpreting and generating bottom-up proteomics data visualizations
📘Journal: Proteomics (I.F.=3.984)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #proteomics #visualization
📘Journal: Proteomics (I.F.=3.984)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #proteomics #visualization
👍3
📓Bioinformatics Crash Course
▫️Free online available
💥 Release: Jan 19, 2022
🔗Study
📲Channel: @Bioinformatics
#course #ebook
▫️Free online available
💥 Release: Jan 19, 2022
🔗Study
📲Channel: @Bioinformatics
#course #ebook
👍17🔥6❤3👏3🙏2
📃A beginner's guide to mass spectrometry–based proteomics
📘Journal: The Biochemist
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#proteomics
📘Journal: The Biochemist
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#proteomics
💥Methods to discover genes driving rare disease and cancer💥
🧑💻Free webinar
🗓 Date: June 30, 11:00 EDT
🕖 Time: 18:00 EEST
📍 Location: Online
🇺🇸Language: English
✍🏻 Webinar link
📲Channel: @Bioinformatics
#webinar
🧑💻Free webinar
🗓 Date: June 30, 11:00 EDT
🕖 Time: 18:00 EEST
📍 Location: Online
🇺🇸Language: English
✍🏻 Webinar link
📲Channel: @Bioinformatics
#webinar
👍4
📑A Beginner’s Guide to Analysis of RNA Sequencing Data
📘Journal: American Journal of Respiratory Cell and Molecular Biology (I.F.=7.748)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#RNA_seq
📘Journal: American Journal of Respiratory Cell and Molecular Biology (I.F.=7.748)
🗓Publish year: 2018
📎 Study the paper
📲Channel: @Bioinformatics
#RNA_seq
👍1
📃A survey and evaluation of Web-based tools/databases for variant analysis of TCGA data
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#survey #variant_analysis
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
#survey #variant_analysis
👍7❤2
📑Ten simple rules for providing effective bioinformatics research support
📘Journal: PLOS Computational Biology (I.F.=4.475)
🗓Publish year: 2020
📎 Study the article
📲Channel: @Bioinformatics
📘Journal: PLOS Computational Biology (I.F.=4.475)
🗓Publish year: 2020
📎 Study the article
📲Channel: @Bioinformatics
👍9
📑Breast cancer detection using artificial intelligence techniques: A systematic literature review
📘Journal: Artificial Intelligence in Medicine (I.F.=7.011)
🗓Publish year: 2022
📎 Study the article
📲Channel: @Bioinformatics
#review #breast_cancer #artificail_intelligence
📘Journal: Artificial Intelligence in Medicine (I.F.=7.011)
🗓Publish year: 2022
📎 Study the article
📲Channel: @Bioinformatics
#review #breast_cancer #artificail_intelligence
🙏6👍3
Forwarded from Network Analysis Resources & Updates
📄Graph theory methods: applications in brain networks
📘Journal: Dialogues in Clinical Neuroscience (I.F=5.986)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
📘Journal: Dialogues in Clinical Neuroscience (I.F=5.986)
🗓Publish year: 2022
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #brain
👍6
📃Progress in and Opportunities for Applying Information Theory to Computational Biology and Bioinformatics
📘Journal: Entropy (I.F=2.738)
🗓Publish year: July,2022
📎Study paper
📲Channel: @Bioinformatics
#entropy
📘Journal: Entropy (I.F=2.738)
🗓Publish year: July,2022
📎Study paper
📲Channel: @Bioinformatics
#entropy
👍4
📑 Who qualifies to be a bioinformatician?
📘Journal: Frontiers in Genetics (I.F.=4.772)
📎 Study the paper
📲Channel: @Bioinformatics
📘Journal: Frontiers in Genetics (I.F.=4.772)
📎 Study the paper
📲Channel: @Bioinformatics
👍13🙏1
📄 Network Building with the Cytoscape BioGateway App Explained in Five Use Cases
📘Journal: Current Protocols
🗓Publish year: 2020
📎Study paper
📲Channel: @Bioinformatics
#Cytoscape #pathway_analysis
📘Journal: Current Protocols
🗓Publish year: 2020
📎Study paper
📲Channel: @Bioinformatics
#Cytoscape #pathway_analysis
👍4
📃 Bioinformatics Research on Drug Sensitivity Prediction
📘Journal: Frontiers in Pharmacology (I.F.=5.988)
🗓Publish year: 2021
📎 Study the article
📲Channel: @Bioinformatics
#review #drug
📘Journal: Frontiers in Pharmacology (I.F.=5.988)
🗓Publish year: 2021
📎 Study the article
📲Channel: @Bioinformatics
#review #drug
👍1👏1
🧑🏭 Bioinformatics Fellowship Positions
📍Place: Institute for Biomedical Technologies (CNR Research Area
Milano 4), via F.lli Cervi 93, Segrate (Milano)
🗓 Duration: 1+1 Years
📲Channel: @Bioinformatics
#fellowship #italy
📍Place: Institute for Biomedical Technologies (CNR Research Area
Milano 4), via F.lli Cervi 93, Segrate (Milano)
🗓 Duration: 1+1 Years
📲Channel: @Bioinformatics
#fellowship #italy
👍6
📑A review of computational drug repositioning: strategies, approaches, opportunities, challenges, and directions
📘Journal: Journal of Cheminformatics (I.F.=8.489)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug #repositioning
📘Journal: Journal of Cheminformatics (I.F.=8.489)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug #repositioning
👍1
Forwarded from Network Analysis Resources & Updates
🎞 Introduction to Brain Network Analysis
💥Free recorded Lecture by Dr. Johann D. Kruschwitz.
💥Graph Theoretical Modelling of Brain Connectivity.
📽 Watch: part1 part2
📲Channel: @ComplexNetworkAnalysis
#video #Lecture #Brain
💥Free recorded Lecture by Dr. Johann D. Kruschwitz.
💥Graph Theoretical Modelling of Brain Connectivity.
📽 Watch: part1 part2
📲Channel: @ComplexNetworkAnalysis
#video #Lecture #Brain
YouTube
Introduction to Brain Network Analysis - Part 1/2.
Introduction to Brain Network Analysis - Part 1/2. Graph Theoretical Modelling of Brain Connectivity. Concepts and Workflow. GraphVar by Dr. Johann D. Kruschwitz.
👍3
📄Graph Representation Learning in Biomedicine
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#graph #biomedicine
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#graph #biomedicine
👍5
🎞Sequencing Data Analysis: Introduction to Key Concepts
💥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
📽 Watch
📲Channel: @Bioinformatics
#video
💥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
📽 Watch
📲Channel: @Bioinformatics
#video
YouTube
Sequencing Data Analysis: Introduction to Key Concepts
This webinar is intended to introduce key data analysis and bioinformatics concepts used in analysis of Illumina sequencing data. This webinar is targeted for those that are new or intermediate to Illumina Next Generation Sequencing analysis, specifically…
👍20❤2
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (2022)
🔗 Download Link:
https://filewebster.com/files/download/MTY1MzcyNzM1OF8yNTc5
✅ Our Channels 👇👇👇
1⃣ @DataScience_Books
2⃣ @CodeProgrammer
🔗 Download Link:
https://filewebster.com/files/download/MTY1MzcyNzM1OF8yNTc5
✅ Our Channels 👇👇👇
1⃣ @DataScience_Books
2⃣ @CodeProgrammer
❤9👍9