π Current best practices in single-cell RNA-seq analysis: a tutorial
πJournal: Molecular Systems Biology (I.F.=11.429)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#tutorial #RNA_seq
πJournal: Molecular Systems Biology (I.F.=11.429)
πPublish year: 2019
π Study the paper
π²Channel: @Bioinformatics
#tutorial #RNA_seq
π9
π Basics of read alignment and Next Generation Sequencing analysis
π₯Free recorded lecture
π½ Watch
π²Channel: @Bioinformatics
#ngs #recorded
π₯Free recorded lecture
π½ Watch
π²Channel: @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.
π7
Forwarded from Network Analysis Resources & Updates
πGrasping frequent subgraph mining for bioinformatics applications
πjournal: Bio Data Mining (I.F=2.522)
πPublish year: 2018
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review #bioinformatics
πjournal: Bio Data Mining (I.F=2.522)
πPublish year: 2018
π Study paper
π±Channel: @ComplexNetworkAnalysis
#paper #review #bioinformatics
π5
πMicroarray cancer feature selection: Review, challenges and research directions
πjournal: International Journal of Cognitive Computing in Engineering
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#review #microarray #cancer
πjournal: International Journal of Cognitive Computing in Engineering
πPublish year: 2020
π Study the paper
π²Channel: @Bioinformatics
#review #microarray #cancer
πBioData manipulation with Python
π₯Free recorded lecture
π½ Watch
π²Channel: @Bioinformatics
#video #python
π₯Free recorded lecture
π½ Watch
π²Channel: @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.
π3
πIntroduction to differential gene expression analysis using RNA-seq
π₯Workshop document from Weill Cornell Medical College
π Study
π²Channel: @Bioinformatics
#rna-seq
π₯Workshop document from Weill Cornell Medical College
π Study
π²Channel: @Bioinformatics
#rna-seq
π8β€4π2π₯1
πDeep Learning in the Biomedical Sciences
π₯Recorded Seminar
π½ Watch
π²Channel: @Bioinformatics
#video #deep_learning #biomdical
π₯Recorded Seminar
π½ Watch
π²Channel: @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 ofβ¦
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 ofβ¦
π7
πA quick overview of the application of machine learning techniques on biomedical graphs
π₯ Technical Paper
πPublish year: May 10, 2022
π Study the paper
π²Channel: @Bioinformatics
#tachnical #graph #biomedical
π₯ Technical Paper
πPublish year: May 10, 2022
π Study the paper
π²Channel: @Bioinformatics
#tachnical #graph #biomedical
π2π1
π§βπ»Machine Learning in Genomics:
Data and resource needs for machine learning in genomics
π Watch
π²Channel: @Bioinformatics
#video #genomics
Data and resource needs for machine learning in genomics
π Watch
π²Channel: @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 learningβ¦
π3
π§ A review of the application of deep learning in the detection of Alzheimer's disease
π Study the paper
πJournal: International Journal of Cognitive Computing in Engineering
πPublish year: 2021
π²Channel: @Bioinformatics
#review #Alzheimer #deep_learning
π Study the paper
πJournal: International Journal of Cognitive Computing in Engineering
πPublish year: 2021
π²Channel: @Bioinformatics
#review #Alzheimer #deep_learning
π The role of High Performance Computing in Bioinformatics
π₯Some Titles:
β«οΈHPC Architecture
β«οΈGPU Computing
β«οΈSupercomputers
β«οΈGrid & Cloud Computing
β«οΈVirtual Screening
β«οΈAutodock
β«οΈGenetic algorithms based docking
β«οΈ Next Generation Sequencing
β«οΈMolecular Dynamics
π Study the paper
π²Channel: @Bioinformatics
#HPC #paper
π₯Some Titles:
β«οΈHPC Architecture
β«οΈGPU Computing
β«οΈSupercomputers
β«οΈGrid & Cloud Computing
β«οΈVirtual Screening
β«οΈAutodock
β«οΈGenetic algorithms based docking
β«οΈ Next Generation Sequencing
β«οΈMolecular Dynamics
π Study the paper
π²Channel: @Bioinformatics
#HPC #paper
π9
πBefore starting the Bioinformatics
π₯Technical paper
π Study the article
π²Channel: @Bioinformatics
π₯Technical paper
π Study the article
π²Channel: @Bioinformatics
Medium
The first step to learning bioinformatics is to not jump to bioinformatics
Mastering the fundamentals of coding patterns and computing systems is key to success in bioinformatics.
π10π₯9β€3
π©βπ«A hands-on introduction to the computer-based analysis of genomic and biomolecular data from the Division of Biological Sciences, UCSD
π₯Free online course
πCourse Syllabus
πͺ Enter the course
π²Channel: @Bioinformatics
π₯Free online course
πCourse Syllabus
πͺ Enter the course
π²Channel: @Bioinformatics
π11
π¨βπ« A Bioinformatics Crash Course for Interpreting Genomics Data
π Study
πJournal: Chest Journal (I.F.=9.41)
πPublish year: 2020
π²Channel: @Bioinformatics
#course #genomics
π Study
πJournal: Chest Journal (I.F.=9.41)
πPublish year: 2020
π²Channel: @Bioinformatics
#course #genomics
π3
πE-learning strategies from a bioinformatics postgraduate programme to improve student engagement and completion rate
π Study
πJournal: Bioinformatics Advances
πPublish year: 2022
π²Channel: @Bioinformatics
#elearning
π Study
πJournal: Bioinformatics Advances
πPublish year: 2022
π²Channel: @Bioinformatics
#elearning
π5
πApplication of Machine Learning for DrugβTarget Interaction Prediction
πJournal: Frontiers in Genetics (I.F.=4.599)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#drug_target #review
πJournal: Frontiers in Genetics (I.F.=4.599)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#drug_target #review
π6β€1
πA step-by-step guide to DNA sequencing data analysis
π₯Technical paper
π Study the article
π²Channel: @Bioinformatics
#dna
π₯Technical paper
π Study the article
π²Channel: @Bioinformatics
#dna
π16
π¨π»βπ»Bioinformatics Notebook on GitHub
π₯This project provides introductions to various bioinformatics tools with short guides, video demonstrations, and scripts that tie these tools together.
π Notebook link
π²Channel: @Bioinformatics
#github #linux
π₯This project provides introductions to various bioinformatics tools with short guides, video demonstrations, and scripts that tie these tools together.
π Notebook link
π²Channel: @Bioinformatics
#github #linux
π13π₯4
πNext-Generation Sequencing Bioinformatics Pipelines
A guide to practical implementation for clinical laboratories
π Study the article
π²Channel: @Bioinformatics
#ngs
A guide to practical implementation for clinical laboratories
π Study the article
π²Channel: @Bioinformatics
#ngs
π4
π Deep Learning in Cancer Diagnosis and Prognosis Prediction: A Minireview on Challenges, Recent Trends, and Future Directions
πJournal: Computational and Mathematical Methods in Medicine (I.F.=2.238)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #deep_learning
πJournal: Computational and Mathematical Methods in Medicine (I.F.=2.238)
πPublish year: 2021
π Study the paper
π²Channel: @Bioinformatics
#review #cancer #deep_learning
π9