Bioinformatics – Telegram
Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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🗒Comprehensive comparison of cloud-based NGS data analysis and alignment tools

🌐https://www.sciencedirect.com/science/article/pii/S2352914819303673

📲Channel: @Bioinformatics
🧠 Deep learning and Its application in Biomedicine

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📲Channel: @Bioinformatics
🎬 Free Webinar
🌡 Application of metabolomics in natural products drug discovery


🗓 Time:
Jul 2, 2021 03:00 PM in Kuala Lumpur

✍️ZOOM link registration:
https://bit.ly/3h0qXSZ

📲Channel: @Bioinformatics
💊 Drug Repurposing Using Biological Networks

In this paper, authors provide an in-depth review of the main applications of drug repositioning that have been carried out using biological network models. The goal of this review is to show the usefulness of these computational methods to predict associations and to find candidate drugs for repositioning in new indications of certain diseases.

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📲Channel: @Bioinformatics
👩‍🏫Free Online Course:
Design Genomics and Bioinformatics Training

Duration: 3 weeks
⌚️Weekly study: 5 hours
🌐Format: 100% online
🔰Start: now

ℹ️ Join here and see more information

📽 Trailer: http://youtu.be/fBfatQHA3tg

📲Channel: @Bioinformatics
🏢 Brazilian Symposium on Bioinformatics 2021

💥The Brazilian Symposium on Bioinformatics is an international conference which covers all aspects of Bioinformatics and Computational Biology. BSB is organized by the special interest group in Computational Biology (CE-BioComp) of the Brazilian Computer Society (SBC).

🗓 Date: 22-26 November, 2021

🖇Website & more info.:
https://bsb.sbc.org.br/2021/

📲Channel: @Bioinformatics
🧑‍🏫CellPress Webinar
Spatial and temporal genomics in cancer research

🗓 Date: July 15, 2021
🕰Time: 12 pm ET

✍🏻Registeration and more info

📲Channel: @Bioinformatics
🍯 Application of network link prediction in drug discovery

📑https://link.springer.com/article/10.1186/s12859-021-04082-y

📲Channel: @Bioinformatics
🩺Systems biology in disease modeling and control, analysis and perspectives

This review introduces biomedical applications and analyses of interactions among omics and drug molecules for modeling disease mechanism and drug response. The therapeutical performance can be improved by combining the predictive and computational models with drug administration designed by control laws. The challenges are discussed for its clinic uses.

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📲Channel: @Bioinformatics
☁️ 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.

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📲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
👨‍🔬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 ...
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📲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.

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📲Channel: @Bioinformatics
👨🏻‍💻 Introduction to Protein Primary structure Analysis

✍️ Level: Elementary

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📲Channel: @Bioinformatics
📑Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future

🌐 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.

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📲Channel: @Bioinformatics
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