π°Getting started in Bioinformatics: A step-by-step guide
β«οΈPart 1: Why do you want to become a Bioinformatician?
β«οΈPart 2: What happens if you try solving Bioinformatics problems without a good understanding of programming fundamentals?
β«οΈPart 3: Master the fundamentals of programming!
β«οΈPart 4: What do I need to get started?
β«οΈPart 5: A plan of action.
β«οΈPart 6: Additional resources
π Study with details
π²Channel: @Bioinformatics
β«οΈPart 1: Why do you want to become a Bioinformatician?
β«οΈPart 2: What happens if you try solving Bioinformatics problems without a good understanding of programming fundamentals?
β«οΈPart 3: Master the fundamentals of programming!
β«οΈPart 4: What do I need to get started?
β«οΈPart 5: A plan of action.
β«οΈPart 6: Additional resources
π Study with details
π²Channel: @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.
π1
πDeep learning in bioinformatics: Introduction, application, and perspective in the big data era
π Study the paper
π¨π»βπ»The implementations are freely available at
https://github.com/lykaust15/Deep_learning_examples.
π²Channel: @Bioinformatics
π Study the paper
π¨π»βπ»The implementations are freely available at
https://github.com/lykaust15/Deep_learning_examples.
π²Channel: @Bioinformatics
Audio
π΅ 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 isnβt 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.
π Read the story
π²Channel: @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 isnβt 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.
π Read the story
π²Channel: @Bioinformatics
π Free webinar
Machine Learning Applications in Genomics
π Date: Thu, 2 December 2021
π Time: 16:30 β 17:30 +0330
βπ» Registrations & More information
π²Channel: @Bioinformatics
Machine Learning Applications in Genomics
π Date: Thu, 2 December 2021
π Time: 16:30 β 17:30 +0330
βπ» Registrations & More information
π²Channel: @Bioinformatics
Eventbrite
Machine Learning Applications in Genomics Webinar
The webinar will review the use cases for Artificial Intelligence networks, Bayesian network and decision trees.
π1
πA Review on Potentials of Artificial Intelligence Approaches to Forecasting COVID-19 Spreading
π Study
π²Channel: @Bioinformatics
π Study
π²Channel: @Bioinformatics
π¨βπ« Registration is open for
π₯ Genome Informatics workshop- Second Edition, 2021π₯
π Duration: December 6 to December 22, 2021
βοΈ Registration Link: https://decodelife.co.in
π²Fees: Rupees 1000 for Indian Participants /USD 20 for international Participants
π₯Key Features:
β«οΈ 16 sessions with approximately 25 hrs of learning.
β«οΈE-Certificate of Participation
β«οΈVideos recording of each session will be shared with participants
π²Channel: @Bioinformatics
π₯ Genome Informatics workshop- Second Edition, 2021π₯
π Duration: December 6 to December 22, 2021
βοΈ Registration Link: https://decodelife.co.in
π²Fees: Rupees 1000 for Indian Participants /USD 20 for international Participants
π₯Key Features:
β«οΈ 16 sessions with approximately 25 hrs of learning.
β«οΈE-Certificate of Participation
β«οΈVideos recording of each session will be shared with participants
π²Channel: @Bioinformatics
π Free webinar
Genomic prediction with Bayesian methods
π Date: Tue, 30 Nov 2021
π Time: 11:00 AM - 1:00 PM AEDT
βπ» Registrations & More info.
π²Channel: @Bioinformatics
Genomic prediction with Bayesian methods
π Date: Tue, 30 Nov 2021
π Time: 11:00 AM - 1:00 PM AEDT
βπ» Registrations & More info.
π²Channel: @Bioinformatics
Eventbrite
Genomic prediction with Bayesian methods
This event is funded by Intellectual Climate Fund La Trobe University
πΉComputational Methods in Evolutionary Biology, WS 2021/2022
πFull course materials (including Handouts, Lecture videos, Exercises, ...) from Ludwig Maximilian University
πPhylogenetics Introduction
π Main page of the course
π²Channel: @Bioinformatics
πFull course materials (including Handouts, Lecture videos, Exercises, ...) from Ludwig Maximilian University
πPhylogenetics Introduction
π Main page of the course
π²Channel: @Bioinformatics
β€1π1
πOpportunities and obstacles for deep learning in biology and medicine
π₯Paper with more than 600 references and under continuous update
π Study the paper
π²Channel: @Bioinformatics
π₯Paper with more than 600 references and under continuous update
π Study the paper
π²Channel: @Bioinformatics
πEarly Requirement for Bioinformatics in Undergraduate Biology Curricula
π Read the paper
π²Channel: @Bioinformatics
π Read the paper
π²Channel: @Bioinformatics
π₯A good and easy to use visualization tool
π₯from Microsoft
π₯ See the movie
π²Channel: @Bioinformatics
π₯from Microsoft
π₯ See the movie
π²Channel: @Bioinformatics
YouTube
Using Power BI in Bioinformatics and Genomics
Learn how to use Power BI to parse data from multiple bioinformatic sources. View more from BlueGranite at: https://bit.ly/2TXTZGs
For many users in the finance, insurance, retail, manufacturing, and even healthcare industries, Power BI has become a stapleβ¦
For many users in the finance, insurance, retail, manufacturing, and even healthcare industries, Power BI has become a stapleβ¦
π2
π Free webinar
Next-Generation Sequencing (NGS) Technologies & Breeding Tomatoes for the Next Generation
π Date: December 04,2021
π Time: 13:30 CET
πWebinar link (No registration is needed)
π²Channel: @Bioinformatics
Next-Generation Sequencing (NGS) Technologies & Breeding Tomatoes for the Next Generation
π Date: December 04,2021
π Time: 13:30 CET
πWebinar link (No registration is needed)
π²Channel: @Bioinformatics
π A review of the role of public health informatics in healthcare
π Study the paper
π²Channel: @Bioinformatics
π Study the paper
π²Channel: @Bioinformatics
π§ Deep learning in mental health outcome research: a scoping review
π₯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.
π Study the paper
π²Channel: @Bioinformatics
π₯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.
π Study the paper
π²Channel: @Bioinformatics
π§βπ 30 Days Free bioinformatics virtual internship program (OMICRON Variant)
π₯Features
β«οΈLearn how to create complete "Computer-Aided Drug Design pipeline" for the Novel Omicron variant.
β«οΈThe pipeline consist five different modules (https://bit.ly/3ru05iE)
β«οΈ Get to know with sequence and structure related databases
β«οΈAbout classical molecular modelling, AlphaFold, and molecular docking
πͺCapacity: 20 seats only!
πImportant dates
πΉe-Quiz 25th Dec,2021
πΉInterview 26th Dec,2021
πΉInternship: from 2nd Jan, 2022
1οΈβ£Register your participation
2οΈβ£Attend e-Quiz
3οΈβ£Give an interview
π More info and registration details
π²Channel: @Bioinformatics
π₯Features
β«οΈLearn how to create complete "Computer-Aided Drug Design pipeline" for the Novel Omicron variant.
β«οΈThe pipeline consist five different modules (https://bit.ly/3ru05iE)
β«οΈ Get to know with sequence and structure related databases
β«οΈAbout classical molecular modelling, AlphaFold, and molecular docking
πͺCapacity: 20 seats only!
πImportant dates
πΉe-Quiz 25th Dec,2021
πΉInterview 26th Dec,2021
πΉInternship: from 2nd Jan, 2022
1οΈβ£Register your participation
2οΈβ£Attend e-Quiz
3οΈβ£Give an interview
π More info and registration details
π²Channel: @Bioinformatics
β€1
π£ From Information Theory to Systems Biology: High Entropy Genes
π₯INTERNATIONAL BIOINFOCLUB DECEMBER 2021
π¬π§ Language: English
π 14th December
π From 19 to 20 p.m, CET
π¨βπ« Speaker:
Mikel Hernaez Arrazola, PhD (CIMA, University of Navarra)
βΉοΈ Register + more information
π²Channel: @Bioinformatics
π₯INTERNATIONAL BIOINFOCLUB DECEMBER 2021
π¬π§ Language: English
π 14th December
π From 19 to 20 p.m, CET
π¨βπ« Speaker:
Mikel Hernaez Arrazola, PhD (CIMA, University of Navarra)
βΉοΈ Register + more information
π²Channel: @Bioinformatics
πΈπ© Bioinformatics in Sudan: Status and challenges case study
π Study the paper
π²Channel: @Bioinformatics
π Study the paper
π²Channel: @Bioinformatics