👨🏻💻Bioinformatics Computing
🎞Fall 2021 Recorded lectures + Slides from Edwards Lab in Georgetown University
💥This course provides a hands-on introduction to programming for bioinformatics using the noscripting language Python. Students will build a portfolio of noscripts that automate common bioinformatics tasks, from reading and writing common bioinformatics file formats and accessing data in relational databases and web-based repositories, interfacing with external tools such as blast, and building web-based resources for use by interactive users or as web-services.
🕸 Course webpage
📲Channel: @Bioinformatics
🎞Fall 2021 Recorded lectures + Slides from Edwards Lab in Georgetown University
💥This course provides a hands-on introduction to programming for bioinformatics using the noscripting language Python. Students will build a portfolio of noscripts that automate common bioinformatics tasks, from reading and writing common bioinformatics file formats and accessing data in relational databases and web-based repositories, interfacing with external tools such as blast, and building web-based resources for use by interactive users or as web-services.
🕸 Course webpage
📲Channel: @Bioinformatics
🎞 Free webinar
*Application of Bioinformatics in current research*
🗓 Date: November 21 2021
🕐 Time: 5.00-6.00 PM (IST)
✍🏻 Registrations
📲Channel: @Bioinformatics
*Application of Bioinformatics in current research*
🗓 Date: November 21 2021
🕐 Time: 5.00-6.00 PM (IST)
✍🏻 Registrations
📲Channel: @Bioinformatics
📑Machine learning for biology with Python
💥Machine learning is programming by example. There are a couple of different categories of biological and medical problems that fall into the machine learning category. We will practically learn an easy case here using python.
▫️Part 1
▫️Part 2
▫️Part 3
📲Channel: @Bioinformatics
💥Machine learning is programming by example. There are a couple of different categories of biological and medical problems that fall into the machine learning category. We will practically learn an easy case here using python.
▫️Part 1
▫️Part 2
▫️Part 3
📲Channel: @Bioinformatics
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📰Getting started in Bioinformatics: A step-by-step guide
▫️Part 1: Why do you want to become a Bioinformatician?
▫️Part 2: What happens if you try solving Bioinformatics problems without a good understanding of programming fundamentals?
▫️Part 3: Master the fundamentals of programming!
▫️Part 4: What do I need to get started?
▫️Part 5: A plan of action.
▫️Part 6: Additional resources
🖇 Study with details
📲Channel: @Bioinformatics
▫️Part 1: Why do you want to become a Bioinformatician?
▫️Part 2: What happens if you try solving Bioinformatics problems without a good understanding of programming fundamentals?
▫️Part 3: Master the fundamentals of programming!
▫️Part 4: What do I need to get started?
▫️Part 5: A plan of action.
▫️Part 6: Additional resources
🖇 Study with details
📲Channel: @Bioinformatics
Medium
Getting started in Bioinformatics: A step-by-step guide.
A guide and advice on how to get started, or how to transition into Bioinformatics for people with biology or programming backgrounds.
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📑Deep learning in bioinformatics: Introduction, application, and perspective in the big data era
🖇 Study the paper
👨🏻💻The implementations are freely available at
https://github.com/lykaust15/Deep_learning_examples.
📲Channel: @Bioinformatics
🖇 Study the paper
👨🏻💻The implementations are freely available at
https://github.com/lykaust15/Deep_learning_examples.
📲Channel: @Bioinformatics
Audio
🎵 Hear the proteins music
We believe that hearing the sound of life at the molecular level could help inspire people to learn more about biology and the computational sciences. While creating music based on proteins isn’t new, different musical styles and composition algorithms had yet to be explored. So we led a team of students and other scholars to figure out how to create classical music from proteins.
🖇 Read the story
📲Channel: @Bioinformatics
We believe that hearing the sound of life at the molecular level could help inspire people to learn more about biology and the computational sciences. While creating music based on proteins isn’t new, different musical styles and composition algorithms had yet to be explored. So we led a team of students and other scholars to figure out how to create classical music from proteins.
🖇 Read the story
📲Channel: @Bioinformatics
🎞 Free webinar
Machine Learning Applications in Genomics
🗓 Date: Thu, 2 December 2021
🕐 Time: 16:30 – 17:30 +0330
✍🏻 Registrations & More information
📲Channel: @Bioinformatics
Machine Learning Applications in Genomics
🗓 Date: Thu, 2 December 2021
🕐 Time: 16:30 – 17:30 +0330
✍🏻 Registrations & More information
📲Channel: @Bioinformatics
Eventbrite
Machine Learning Applications in Genomics Webinar
The webinar will review the use cases for Artificial Intelligence networks, Bayesian network and decision trees.
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📑A Review on Potentials of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading
🌐 Study
📲Channel: @Bioinformatics
🌐 Study
📲Channel: @Bioinformatics
👨🏫 Registration is open for
💥 Genome Informatics workshop- Second Edition, 2021💥
🗓 Duration: December 6 to December 22, 2021
✍️ Registration Link: https://decodelife.co.in
💲Fees: Rupees 1000 for Indian Participants /USD 20 for international Participants
💥Key Features:
▫️ 16 sessions with approximately 25 hrs of learning.
▫️E-Certificate of Participation
▫️Videos recording of each session will be shared with participants
📲Channel: @Bioinformatics
💥 Genome Informatics workshop- Second Edition, 2021💥
🗓 Duration: December 6 to December 22, 2021
✍️ Registration Link: https://decodelife.co.in
💲Fees: Rupees 1000 for Indian Participants /USD 20 for international Participants
💥Key Features:
▫️ 16 sessions with approximately 25 hrs of learning.
▫️E-Certificate of Participation
▫️Videos recording of each session will be shared with participants
📲Channel: @Bioinformatics
🎞 Free webinar
Genomic prediction with Bayesian methods
🗓 Date: Tue, 30 Nov 2021
🕐 Time: 11:00 AM - 1:00 PM AEDT
✍🏻 Registrations & More info.
📲Channel: @Bioinformatics
Genomic prediction with Bayesian methods
🗓 Date: Tue, 30 Nov 2021
🕐 Time: 11:00 AM - 1:00 PM AEDT
✍🏻 Registrations & More info.
📲Channel: @Bioinformatics
Eventbrite
Genomic prediction with Bayesian methods
This event is funded by Intellectual Climate Fund La Trobe University
📹Computational Methods in Evolutionary Biology, WS 2021/2022
📚Full course materials (including Handouts, Lecture videos, Exercises, ...) from Ludwig Maximilian University
🎞Phylogenetics Introduction
🌐 Main page of the course
📲Channel: @Bioinformatics
📚Full course materials (including Handouts, Lecture videos, Exercises, ...) from Ludwig Maximilian University
🎞Phylogenetics Introduction
🌐 Main page of the course
📲Channel: @Bioinformatics
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📑Opportunities and obstacles for deep learning in biology and medicine
💥Paper with more than 600 references and under continuous update
🖇 Study the paper
📲Channel: @Bioinformatics
💥Paper with more than 600 references and under continuous update
🖇 Study the paper
📲Channel: @Bioinformatics
📄Early Requirement for Bioinformatics in Undergraduate Biology Curricula
🖇 Read the paper
📲Channel: @Bioinformatics
🖇 Read the paper
📲Channel: @Bioinformatics
🎞 Free webinar
Next-Generation Sequencing (NGS) Technologies & Breeding Tomatoes for the Next Generation
🗓 Date: December 04,2021
🕐 Time: 13:30 CET
🖇Webinar link (No registration is needed)
📲Channel: @Bioinformatics
Next-Generation Sequencing (NGS) Technologies & Breeding Tomatoes for the Next Generation
🗓 Date: December 04,2021
🕐 Time: 13:30 CET
🖇Webinar link (No registration is needed)
📲Channel: @Bioinformatics
📑 A review of the role of public health informatics in healthcare
🌐 Study the paper
📲Channel: @Bioinformatics
🌐 Study the paper
📲Channel: @Bioinformatics
🧠 Deep learning in mental health outcome research: a scoping review
💥Abstract: The goal of this study is to review existing research on applications of Deep Learning algorithms in mental health outcome research. Specifically, we first briefly overview the state-of-the-art DL techniques. Then we review the literature relevant to DL applications in mental health outcomes. According to the application scenarios, we categorize these relevant articles into four groups: diagnosis and prognosis based on clinical data, analysis of genetics and genomics data for understanding mental health conditions, vocal and visual expression data analysis for disease detection, and estimation of risk of mental illness using social media data. Finally, we discuss challenges in using DL algorithms to improve our understanding of mental health conditions and suggest several promising directions for their applications in improving mental health diagnosis and treatment.
📄 Study the paper
📲Channel: @Bioinformatics
💥Abstract: The goal of this study is to review existing research on applications of Deep Learning algorithms in mental health outcome research. Specifically, we first briefly overview the state-of-the-art DL techniques. Then we review the literature relevant to DL applications in mental health outcomes. According to the application scenarios, we categorize these relevant articles into four groups: diagnosis and prognosis based on clinical data, analysis of genetics and genomics data for understanding mental health conditions, vocal and visual expression data analysis for disease detection, and estimation of risk of mental illness using social media data. Finally, we discuss challenges in using DL algorithms to improve our understanding of mental health conditions and suggest several promising directions for their applications in improving mental health diagnosis and treatment.
📄 Study the paper
📲Channel: @Bioinformatics
🧑🏭 30 Days Free bioinformatics virtual internship program (OMICRON Variant)
💥Features
▫️Learn how to create complete "Computer-Aided Drug Design pipeline" for the Novel Omicron variant.
▫️The pipeline consist five different modules (https://bit.ly/3ru05iE)
▫️ Get to know with sequence and structure related databases
▫️About classical molecular modelling, AlphaFold, and molecular docking
🪑Capacity: 20 seats only!
🗓Important dates
🔹e-Quiz 25th Dec,2021
🔹Interview 26th Dec,2021
🔹Internship: from 2nd Jan, 2022
1️⃣Register your participation
2️⃣Attend e-Quiz
3️⃣Give an interview
🌐 More info and registration details
📲Channel: @Bioinformatics
💥Features
▫️Learn how to create complete "Computer-Aided Drug Design pipeline" for the Novel Omicron variant.
▫️The pipeline consist five different modules (https://bit.ly/3ru05iE)
▫️ Get to know with sequence and structure related databases
▫️About classical molecular modelling, AlphaFold, and molecular docking
🪑Capacity: 20 seats only!
🗓Important dates
🔹e-Quiz 25th Dec,2021
🔹Interview 26th Dec,2021
🔹Internship: from 2nd Jan, 2022
1️⃣Register your participation
2️⃣Attend e-Quiz
3️⃣Give an interview
🌐 More info and registration details
📲Channel: @Bioinformatics
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