📹Machine Learning in Genomics virtual workshop
from NIH
👀 https://www.youtube.com/watch?v=6WEBnAXbiWY
📲Channel: @Bioinformatics
from NIH
👀 https://www.youtube.com/watch?v=6WEBnAXbiWY
📲Channel: @Bioinformatics
YouTube
Session 1: Algorithm development and machine learning approaches 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…
🧬Realizing the Potential of Genomics-Driven Precision Medicine
Online recorded discussion (🎞) about genomics-driven precision medicine, gene therapy misconceptions and fears, involving patients and caregivers in designing gene therapy trials, how to achieve true patient-centricity, and much more!
📽 Click to watch
📲Channel: @Bioinformatics
Online recorded discussion (🎞) about genomics-driven precision medicine, gene therapy misconceptions and fears, involving patients and caregivers in designing gene therapy trials, how to achieve true patient-centricity, and much more!
📽 Click to watch
📲Channel: @Bioinformatics
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🔬 Recent advances in clinical genetics and genomics
In this review, we summarize the most recent advances in sequencing technologies, bioinformatics tools, and the translation of genome medicine into clinical practice.
📑Study more
📲Channel: @Bioinformatics
In this review, we summarize the most recent advances in sequencing technologies, bioinformatics tools, and the translation of genome medicine into clinical practice.
📑Study more
📲Channel: @Bioinformatics
Bioinformatics
📽Cancer Bioinformatics Recorded Workshops ▫️Part Three - NCBI and The Human Protein Atlas 📲Channel: @Bioinformatics
YouTube
Cancer Bioinformatics: Pt4 R2 Genomics Tutorial
This video was recorded from a Clinical Translational Workshop (CTW), or half-day immersion experience in bioinformatics for the Cancer Research Experience for Undergraduates (CREU) 2021 summer research fellowship. The CREU program is funded by a NIH R25…
📀Data science enabling personalized medicine
▫️From Paper Abstract:
Personalized medicine is deeply connected to and dependent on data science, specifically machine learning (often named Artificial Intelligence in the mainstream media). While during recent years there has been a lot of enthusiasm about the potential of ‘big data’ and machine learning-based solutions, there exist only few examples that impact current clinical practice. In this paper, we review the potential of state-of-the-art data science approaches for personalized medicine, discuss open challenges, and highlight directions that may help to overcome them in the future.
📑Study the paper
📲Channel: @Bioinformatics
▫️From Paper Abstract:
Personalized medicine is deeply connected to and dependent on data science, specifically machine learning (often named Artificial Intelligence in the mainstream media). While during recent years there has been a lot of enthusiasm about the potential of ‘big data’ and machine learning-based solutions, there exist only few examples that impact current clinical practice. In this paper, we review the potential of state-of-the-art data science approaches for personalized medicine, discuss open challenges, and highlight directions that may help to overcome them in the future.
📑Study the paper
📲Channel: @Bioinformatics
📘Online Tutorial from EMBL-EBI
💥Discover functional genomics data quickly and easily
🌐Enter Course
📲Channel: @Bioinformatics
💥Discover functional genomics data quickly and easily
🌐Enter Course
📲Channel: @Bioinformatics
🧑⚕️Computer-aided biomarker discovery for precision medicine: data resources, models and applications
▫️From Paper Abstract:
Biomarkers are a class of measurable and evaluable indicators with the potential to predict disease initiation and progression. In this review, the concept and characteristics of typical biomarker types are explicated on the guidance of systems biology. Then, publicly available data resources together with some well-constructed biomarker databases and knowledge bases are introduced. Biomarker identification models using mathematical, network and machine learning theories are sequentially discussed. This article aims to give deep insights into the advantages and challenges of current computational approaches for biomarker detection, and to light up the future wisdom toward precision medicine and nation-wide healthcare.
📑Study the paper
📲Channel: @Bioinformatics
▫️From Paper Abstract:
Biomarkers are a class of measurable and evaluable indicators with the potential to predict disease initiation and progression. In this review, the concept and characteristics of typical biomarker types are explicated on the guidance of systems biology. Then, publicly available data resources together with some well-constructed biomarker databases and knowledge bases are introduced. Biomarker identification models using mathematical, network and machine learning theories are sequentially discussed. This article aims to give deep insights into the advantages and challenges of current computational approaches for biomarker detection, and to light up the future wisdom toward precision medicine and nation-wide healthcare.
📑Study the paper
📲Channel: @Bioinformatics
👍1
Bioinformatics
📽Cancer Bioinformatics Recorded Workshops ▫️Part Four - Genomics Tutorial 📲Channel: @Bioinformatics
📽Cancer Bioinformatics Recorded Workshops
▫️Part Five: STRING Tutorial
▫️Part Six: Metascape Tutorial
📲Channel: @Bioinformatics
▫️Part Five: STRING Tutorial
▫️Part Six: Metascape Tutorial
📲Channel: @Bioinformatics
YouTube
Cancer Bioinformatics: Pt5 STRING Tutorial
This video was recorded from a Clinical Translational Workshop (CTW), or half-day immersion experience in bioinformatics for the Cancer Research Experience for Undergraduates (CREU) 2021 summer research fellowship. The CREU program is funded by a NIH R25…
👨🏫 Registration is open for Genes to Pathways - Second edition,2021
🔻Workshop which will cover
-Basics of Linux
-R programming language
-Next generation sequencing
-Network biology
🗓 Duration: August 2 to August 17, 2021
⌚️Time: 7PM (IST)
✍️ Registration Link
https://decodelife.co.in
💥Key Features :
▫️There is no registration fees
▫️E- Certificate of Participation
▫️Workshop material will be shared with participants
📲Channel: @Bioinformatics
🔻Workshop which will cover
-Basics of Linux
-R programming language
-Next generation sequencing
-Network biology
🗓 Duration: August 2 to August 17, 2021
⌚️Time: 7PM (IST)
✍️ Registration Link
https://decodelife.co.in
💥Key Features :
▫️There is no registration fees
▫️E- Certificate of Participation
▫️Workshop material will be shared with participants
📲Channel: @Bioinformatics
👨🏻💻Online Course:
Computational Systems Biology: Deep Learning in Life Sciences
🧾Includes: Course materials, Lecture videos and slides, supplementary files and tutorials,...
🌐https://mit6874.github.io/
📲Channel: @Bioinformatics
Computational Systems Biology: Deep Learning in Life Sciences
🧾Includes: Course materials, Lecture videos and slides, supplementary files and tutorials,...
🌐https://mit6874.github.io/
📲Channel: @Bioinformatics
👍1
💻Applications of machine learning in drug discovery and development
🌐https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6552674/
📲Channel: @Bioinformatics
🌐https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6552674/
📲Channel: @Bioinformatics
📽 Multi-omics in Health and Disease: Current Applications, Challenges and Future Directions.
Recorded Workshops from National Human Genome Research Institute
▫️Session 1: Setting the stage: Application of Multi-omics to study Health & Disease
▫️Session 2: Technology, Data Integration and Study Design
▫️Session 3: Application of Multi-omics to Observational Studies
▫️Session 4: Future Clinical Implementation: Roadblocks and Opportunities
▫️Session 5: Recommendations to National Human Genome Research Institute
📲Channel: @Bioinformatics
Recorded Workshops from National Human Genome Research Institute
▫️Session 1: Setting the stage: Application of Multi-omics to study Health & Disease
▫️Session 2: Technology, Data Integration and Study Design
▫️Session 3: Application of Multi-omics to Observational Studies
▫️Session 4: Future Clinical Implementation: Roadblocks and Opportunities
▫️Session 5: Recommendations to National Human Genome Research Institute
📲Channel: @Bioinformatics
YouTube
Multi-omics in Health and Disease (Session 1)
On June 17-18, 2021, NHGRI hosted a workshop, Multi-omics in Health and Disease: Current Applications, Challenges and Future Directions.
About the workshop: https://www.genome.gov/event-calendar/multi-omics-in-health-and-disease
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About the workshop: https://www.genome.gov/event-calendar/multi-omics-in-health-and-disease
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📑72 pages review paper on
Biological computation and computational biology: survey, challenges, and discussion
💥In this paper, we presented a review on biological computation and various important sectors of computational biology, discussed the interface between these two research areas and finally we identified a set of challenges for better synergies between biology and computation. We aimed at presenting how various computational techniques have been inspired from the nature, and, on the other hand, how computational techniques and mathematical modeling have been used to solve various biological questions. We presented a reasonably comprehensive review on biological computation, showing the tremendous impact and contribution this nature has on developing computational techniques.💥
🌐Read the paper
📲Channel: @Bioinformatics
Biological computation and computational biology: survey, challenges, and discussion
💥In this paper, we presented a review on biological computation and various important sectors of computational biology, discussed the interface between these two research areas and finally we identified a set of challenges for better synergies between biology and computation. We aimed at presenting how various computational techniques have been inspired from the nature, and, on the other hand, how computational techniques and mathematical modeling have been used to solve various biological questions. We presented a reasonably comprehensive review on biological computation, showing the tremendous impact and contribution this nature has on developing computational techniques.💥
🌐Read the paper
📲Channel: @Bioinformatics