Bioinformatics – Telegram
Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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📘Online Tutorial from EMBL-EBI
💥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.

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📲Channel: @Bioinformatics
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👨‍🏫 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
👨🏻‍💻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
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💻Applications of machine learning in drug discovery and development

🌐https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6552674/

📲Channel: @Bioinformatics
📑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.💥

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📲Channel: @Bioinformatics
🦠How bioinformatics is playing key role in the study of the virus and its origin
Case study: SARS-CoV-2

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📲Channel: @Bioinformatics
🧑‍🏫 NGS Data Analysis Workshop
Learn the most demanded skill in Bioinformatics without the need to code!

When:
27 - 30 July | 6:30 to 8:30 PM IST

💵 Fee:
Rs 1000 for Indian Nationals | USD 20 for Foreign Nationals

All sessions will be conducted on Zoom
Recording for each session will be shared with the participants
An e-Certificate will be provided to all the participants

✍🏻Registration and more information:
https://genespectrum.co.in/bioinformatics-training/ngs-data-analysis-with-galaxy/#register

📲Channel: @Bioinformatics
👨‍🏫 Free Online Course: High-Dimensional Data Analysis
from Harvard University supporting by NIH Grant

🗓 Duration: 4 weeks long
🕦 Time Commitment: 2-4 hours per week
✍️
Level: Intermediate, self paced

💥What you'll learn:
▫️Mathematical Distance
▫️Dimension Reduction
▫️Singular Value Decomposition and Principal Component Analysis
▫️Multiple Dimensional Scaling Plots
▫️Factor Analysis
▫️Dealing with Batch Effects

🔰Open till September 14, 2021

ℹ️ More information and Participation

📲Channel: @Bioinformatics
💎Artificial intelligence for clinical oncology
Valuable paper from Cancer Cell Journal (IF=35.45)

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📲Channel: @Bioinformatics
📑MicroRNAs and complex diseases: from experimental results to computational models

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📲Channel: @Bioinformatics