📄Computational Methods for Identifying Similar Diseases
💥Review paper
📘Journal: Molecular Therapy Nucleic Acids (I.F.=8.886)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
💥Review paper
📘Journal: Molecular Therapy Nucleic Acids (I.F.=8.886)
🗓Publish year: 2019
📎 Study the paper
📲Channel: @Bioinformatics
👍7❤4
📄A review on the application of bioinformatics tools in food microbiome studies
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2022
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📲Channel: @Bioinformatics
#review #microbiome
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2022
📎 Study the paper
📲Channel: @Bioinformatics
#review #microbiome
👍6❤3
Forwarded from Network Analysis Resources & Updates
📄Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey
📘Journal: Complexity (I.F=2.833)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #survey #brain
📘Journal: Complexity (I.F=2.833)
🗓Publish year: 2017
📎Study paper
📲Channel: @ComplexNetworkAnalysis
#paper #survey #brain
👍4👏3
📑 Biomedical data and computational models for drug repositioning: a comprehensive review
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #drug_repositioning #biomedical
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2020
📎 Study the paper
📲Channel: @Bioinformatics
#review #drug_repositioning #biomedical
👍6❤1
📃Exploring Chemical Information in PubChem
📘Journal: Current Protocols
🗓Publish year: 2021
💥Basic Protocols investigated:
▫️Finding genes and proteins that interact with a given compound
▫️Finding drug-like compounds similar to a query compound through a two-dimensional (2-D) similarity search
▫️Finding compounds similar to a query compound through a three-dimensional (3-D) similarity search
▫️Computing similarity scores between compounds
▫️Getting the bioactivity data for the hit compounds from substructure search
▫️Finding drugs that target a particular gene
▫️Getting bioactivity data of all chemicals tested against a protein.
▫️Finding compounds annotated with classifications or ontological terms
▫️Finding stereoisomers and isotopomers of a compound through identity search
📎 Study the paper
📲Channel: @Bioinformatics
#database #pubchem
📘Journal: Current Protocols
🗓Publish year: 2021
💥Basic Protocols investigated:
▫️Finding genes and proteins that interact with a given compound
▫️Finding drug-like compounds similar to a query compound through a two-dimensional (2-D) similarity search
▫️Finding compounds similar to a query compound through a three-dimensional (3-D) similarity search
▫️Computing similarity scores between compounds
▫️Getting the bioactivity data for the hit compounds from substructure search
▫️Finding drugs that target a particular gene
▫️Getting bioactivity data of all chemicals tested against a protein.
▫️Finding compounds annotated with classifications or ontological terms
▫️Finding stereoisomers and isotopomers of a compound through identity search
📎 Study the paper
📲Channel: @Bioinformatics
#database #pubchem
❤4👍4👏1
📰 From bioinformatics user to bioinformatics engineer: a report
🖇 Study
📲Channel: @Bioinformatics
#programming
🖇 Study
📲Channel: @Bioinformatics
#programming
👍7
📄A bioinformatics approach to microRNA-sequencing analysis
📘Journal: Osteoarthritis and Cartilage Open (I.F.=6.576)
🗓Publish year: 2021
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📲Channel: @Bioinformatics
📘Journal: Osteoarthritis and Cartilage Open (I.F.=6.576)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
👍6
📑Hardware acceleration of genomics data analysis: challenges and opportunities
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2021
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📲Channel: @Bioinformatics
#GPU #HPC #FPGA #NoC
📘Journal: Briefings in Bioinformatics (I.F.=11.622)
🗓Publish year: 2021
📎 Study the paper
📲Channel: @Bioinformatics
#GPU #HPC #FPGA #NoC
👍7👏1
📖 Current best practices in single-cell RNA-seq analysis: a tutorial
📘Journal: Molecular Systems Biology (I.F.=11.429)
🗓Publish year: 2019
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📲Channel: @Bioinformatics
#tutorial #RNA_seq
📘Journal: Molecular Systems Biology (I.F.=11.429)
🗓Publish year: 2019
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📲Channel: @Bioinformatics
#tutorial #RNA_seq
👍9
🎞 Basics of read alignment and Next Generation Sequencing analysis
💥Free recorded lecture
📽 Watch
📲Channel: @Bioinformatics
#ngs #recorded
💥Free recorded lecture
📽 Watch
📲Channel: @Bioinformatics
#ngs #recorded
YouTube
Bioinformatics Lecture 6: Next generation sequencing and bioinformatics tools for read alignment
Learn how read alignment and its alternatives facilitate novel scientific discoveries through the comparison and visualization of sequence data.
👍7
Forwarded from Network Analysis Resources & Updates
📄Grasping frequent subgraph mining for bioinformatics applications
📘journal: Bio Data Mining (I.F=2.522)
🗓Publish year: 2018
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📱Channel: @ComplexNetworkAnalysis
#paper #review #bioinformatics
📘journal: Bio Data Mining (I.F=2.522)
🗓Publish year: 2018
📎 Study paper
📱Channel: @ComplexNetworkAnalysis
#paper #review #bioinformatics
👍5
📑Microarray cancer feature selection: Review, challenges and research directions
📘journal: International Journal of Cognitive Computing in Engineering
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #microarray #cancer
📘journal: International Journal of Cognitive Computing in Engineering
🗓Publish year: 2020
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📲Channel: @Bioinformatics
#review #microarray #cancer
🎞BioData manipulation with Python
💥Free recorded lecture
📽 Watch
📲Channel: @Bioinformatics
#video #python
💥Free recorded lecture
📽 Watch
📲Channel: @Bioinformatics
#video #python
YouTube
Bioinformatics Lecture 2: Using Python to store and manipulate biomedical data
Learn about Python's data structures & functions and how they can be used in conjunction with the Pandas library to perform numerous operations on tabular biomedical datasets.
👍3
📄Introduction to differential gene expression analysis using RNA-seq
💥Workshop document from Weill Cornell Medical College
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📲Channel: @Bioinformatics
#rna-seq
💥Workshop document from Weill Cornell Medical College
🌐 Study
📲Channel: @Bioinformatics
#rna-seq
👍8❤4👏2🔥1
🎞Deep Learning in the Biomedical Sciences
💥Recorded Seminar
📽 Watch
📲Channel: @Bioinformatics
#video #deep_learning #biomdical
💥Recorded Seminar
📽 Watch
📲Channel: @Bioinformatics
#video #deep_learning #biomdical
YouTube
Pierre Baldi - Deep Learning in the Biomedical Sciences
Talk given on 11-18-21
Abstract:
We will provide a brief historical overview of deep learning and its two-way interactions with biology. In one direction, progress in deep learning has been driven by progress in neuroscience, from the early beginnings of…
Abstract:
We will provide a brief historical overview of deep learning and its two-way interactions with biology. In one direction, progress in deep learning has been driven by progress in neuroscience, from the early beginnings of…
👍7
📄A quick overview of the application of machine learning techniques on biomedical graphs
💥 Technical Paper
🗓Publish year: May 10, 2022
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📲Channel: @Bioinformatics
#tachnical #graph #biomedical
💥 Technical Paper
🗓Publish year: May 10, 2022
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📲Channel: @Bioinformatics
#tachnical #graph #biomedical
👍2🙏1
🧑💻Machine Learning in Genomics:
Data and resource needs for machine learning in genomics
🎞 Watch
📲Channel: @Bioinformatics
#video #genomics
Data and resource needs for machine learning in genomics
🎞 Watch
📲Channel: @Bioinformatics
#video #genomics
YouTube
Session 3: Data and resource needs for machine learning in genomics
April 13-14, 2021 - The NHGRI Genomic Data Science Working Group hosts Machine Learning in Genomics: Tools, Resources, Clinical Applications and Ethics. This virtual workshop highlights the opportunities and obstacles that occur when applying machine learning…
👍3
🧠A review of the application of deep learning in the detection of Alzheimer's disease
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📘Journal: International Journal of Cognitive Computing in Engineering
🗓Publish year: 2021
📲Channel: @Bioinformatics
#review #Alzheimer #deep_learning
🖇 Study the paper
📘Journal: International Journal of Cognitive Computing in Engineering
🗓Publish year: 2021
📲Channel: @Bioinformatics
#review #Alzheimer #deep_learning