☁️ Cloud Computing for Next-Generation Sequencing Data Analysis
In this chapter, we will review some cloud-based systems and solutions for NGS data analysis, discuss the practical hurdles and limitations in cloud computing, including data transfer and security, and share the lessons we learned from the implementation of Rainbow, a cloud-based tool for large-scale genome sequencing data analysis.
📑 Study the chapter
📲Channel: @Bioinformatics
In this chapter, we will review some cloud-based systems and solutions for NGS data analysis, discuss the practical hurdles and limitations in cloud computing, including data transfer and security, and share the lessons we learned from the implementation of Rainbow, a cloud-based tool for large-scale genome sequencing data analysis.
📑 Study the chapter
📲Channel: @Bioinformatics
💊 Precision medicine new opportunity for complex diseases
Here, We provide a comprehensive review of genomic-driven precision medicine of complex diseases across major medical specialties.
📄https://medicalxpress.com/news/2021-07-precision-medicine-opportunity-complex-diseases.html
📲Channel: @Bioinformatics
Here, We provide a comprehensive review of genomic-driven precision medicine of complex diseases across major medical specialties.
📄https://medicalxpress.com/news/2021-07-precision-medicine-opportunity-complex-diseases.html
📲Channel: @Bioinformatics
👨🔬Artificial intelligence applications in psychoradiology
Abstract
One important challenge in psychiatric research is to translate findings from brain imaging research studies that identified brain alterations in patient groups into an accurate diagnosis at an early stage of illness, prediction of prognosis before treatment, and guidance for selection of effective treatments that target patient-relevant pathophysiological features. This is the primary aim of the field of Psychoradiology. Using databases collected from large samples at multiple centers, sophisticated artificial intelligence (AI) algorithms may be used to develop clinically useful image analysis pipelines that can help physicians diagnose, predict, and make treatment decisions. In this review, we summarize psychoradiological research using ...
📑 Study the paper
📲Channel: @Bioinformatics
Abstract
One important challenge in psychiatric research is to translate findings from brain imaging research studies that identified brain alterations in patient groups into an accurate diagnosis at an early stage of illness, prediction of prognosis before treatment, and guidance for selection of effective treatments that target patient-relevant pathophysiological features. This is the primary aim of the field of Psychoradiology. Using databases collected from large samples at multiple centers, sophisticated artificial intelligence (AI) algorithms may be used to develop clinically useful image analysis pipelines that can help physicians diagnose, predict, and make treatment decisions. In this review, we summarize psychoradiological research using ...
📑 Study the paper
📲Channel: @Bioinformatics
🧠 Complex Brain Network Analysis and Its Applications to Brain Disorders: A Survey
It is well known that most brain disorders are complex diseases, such as Alzheimer’s disease (AD) and schizophrenia (SCZ). In general, brain regions and their interactions can be modeled as complex brain network, which describe highly efficient information transmission in a brain. Therefore, complex brain network analysis plays an important role in the study of complex brain diseases. ... The purpose of this survey is to provide a comprehensive overview for complex brain network analysis and its applications to brain disorders.
📑Study the paper
📲Channel: @Bioinformatics
It is well known that most brain disorders are complex diseases, such as Alzheimer’s disease (AD) and schizophrenia (SCZ). In general, brain regions and their interactions can be modeled as complex brain network, which describe highly efficient information transmission in a brain. Therefore, complex brain network analysis plays an important role in the study of complex brain diseases. ... The purpose of this survey is to provide a comprehensive overview for complex brain network analysis and its applications to brain disorders.
📑Study the paper
📲Channel: @Bioinformatics
👨🏻💻 Introduction to Protein Primary structure Analysis
✍️ Level: Elementary
📑 Study the article
📲Channel: @Bioinformatics
✍️ Level: Elementary
📑 Study the article
📲Channel: @Bioinformatics
📑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