📑Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future
🌐 Paper link
📲Channel: @Bioinformatics
🌐 Paper link
📲Channel: @Bioinformatics
🦠Large Genomic Analysis Highlights COVID-19 Risk Factors
A comprehensive summary of the findings to date, published in Nature, reveals 13 loci, or locations in the human genome, that are strongly associated with infection or severe COVID-19. The researchers also identified causal factors such as smoking and high body mass index. These results come from one of the largest genome-wide association studies ever performed, which includes nearly 50,000 COVID-19 patients and two million uninfected controls.
🌐 Study the article
📲Channel: @Bioinformatics
A comprehensive summary of the findings to date, published in Nature, reveals 13 loci, or locations in the human genome, that are strongly associated with infection or severe COVID-19. The researchers also identified causal factors such as smoking and high body mass index. These results come from one of the largest genome-wide association studies ever performed, which includes nearly 50,000 COVID-19 patients and two million uninfected controls.
🌐 Study the article
📲Channel: @Bioinformatics
📽Cancer Bioinformatics Recorded Workshops
▫️Part One - Intro Lecture
▫️Part Two - TCGA Tutorial
📲Channel: @Bioinformatics
▫️Part One - Intro Lecture
▫️Part Two - TCGA Tutorial
📲Channel: @Bioinformatics
YouTube
Cancer Bioinformatics: Pt1 Intro Lecture
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…
👨🔬 Being a Future Scientist by joining Bioinformatics Challenge for Teens!
If you're a techie who's always intrigued about new things, you should gain a better understanding of bioinformatics.
It is becoming increasingly popular as a resource for learning about biomedical and biotechnology research.
▫️This event is open to all young scientists who have great ideas.
▫️For the 10-days program, you will be paired with an expert mentor.
✍️Registeration:
http://bit.ly/BootcampIT1
ℹ️More information:
http://t.me/generasipeneliti
📞Contact info:
https://wa.me/6281275915940
📲Channel: @Bioinformatics
If you're a techie who's always intrigued about new things, you should gain a better understanding of bioinformatics.
It is becoming increasingly popular as a resource for learning about biomedical and biotechnology research.
▫️This event is open to all young scientists who have great ideas.
▫️For the 10-days program, you will be paired with an expert mentor.
✍️Registeration:
http://bit.ly/BootcampIT1
ℹ️More information:
http://t.me/generasipeneliti
📞Contact info:
https://wa.me/6281275915940
📲Channel: @Bioinformatics
📽Cancer Bioinformatics Recorded Workshops
▫️Part Three - NCBI and The Human Protein Atlas
📲Channel: @Bioinformatics
▫️Part Three - NCBI and The Human Protein Atlas
📲Channel: @Bioinformatics
YouTube
Cancer Bioinformatics: Pt3 NCBI and The Human Protein Atlas
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…
📹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
👍1
🔬 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