🎞 Bioinformatics for genomics and gene editing
💥From the Université de Montréal

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📲Channel: @Bioinformatics
#video #genomics #editing

📄Ten quick tips for biomarker discovery and validation analyses using machine learning

📘Journal: PLOS Computational Biology (I.F.=4.779)
🗓Publish year: 2022

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📲Channel: @Bioinformatics

📑Deep learning-based clustering approaches for bioinformatics

📘 Journal:Briefings in Bioinformatics (I.F=13.994)

🗓Publish year: 2021

📎 Study paper

📲Channel: @Bioinformatics
#review #deep_learning #clustering

🎞 The History of Genomics Told Through Machine Learning
💥From NIH National Human Genome Research Institute

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📲Channel: @Bioinformatics
#video #genomics #machine_learning

📄Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction

📘 Journal: Current Genomics (I.F=2.689)

🗓Publish year: 2020

📎 Study paper

📲Channel: @Bioinformatics
#review #PPI

📃Data Science in Undergraduate Life Science Education

📘 Journal: BioScience (I.F=11.566)

🗓Publish year: 2021

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📲Channel: @Bioinformatics
#education #data_science

🎓Machine Learning for Genomic Data

📘BSc thesis from University of NUS, Singapore

🗓Publish year: 2019

💥Abstract: This report explores the application of machine learning techniques on short timeseries gene expression data. Although standard machine learning algorithms work well on longer time-series’, they often fail to find meaningful insights from fewer timepoints.
In this report, we explore model-based clustering techniques. We combine popular unsupervised learning techniques like K-Means, Gaussian Mixture Models, Bayesian Networks, Hidden Markov Models with the well-known Expectation Maximization algorithm. K-Means and Gaussian Mixture Models are fairly standard, while Hidden Markov Model and Bayesian Networks clustering are more novel ideas that suit time-series gene expression data.

📎 Study thesis

📲Channel: @Bioinformatics
#thesis #genomic #machine_learning

🎞 R Workshop: RNA-Seq From Raw to Processed Data

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📲Channel: @Bioinformatics
#video #workshop #rna-seq

📑 Determining Protein–Protein Interaction Using Support Vector Machine: A Review

📘 Journal: IEEE Access (I.F=3.476)

🗓Publish year: 2021

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📲Channel: @Bioinformatics
#review #PPI #SVM

👨‍🏫 Registration is open to one month International Bioinformatics Workshop by DE<code>LIFE
💥 Data science and Machine learning with - "R" 💥

🗓 Duration: 26 September - 22 October, 2022

✍️ Registration Link
https://decodelife.co.in

💲 Fees: Rupees 1200 for Indian Participants /USD 25 for international Participants

💥Key Features :
▫️ 20 sessions with approximately 30 hrs of learning.
▫️E- Certificate of Participation.

Note: video recording will be shared with participants immediately after each session along with relevant material.

❓Frequently asked questions
https://decodelife.co.in/faq/

📲Channel: @Bioinformatics

📑 Introducing Programming Skills for Life Science Students

📘 Journal: Biochemistry and Molecular Biology Education (I.F=1.369)

🗓Publish year: 2019

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📲Channel: @Bioinformatics
#programming

📃Changing Trends in Computational Drug Repositioning

📘 Journal: Pharmaceuticals (I.F=5.215)

🗓Publish year: 2018

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📲Channel: @Bioinformatics
#review #drug #repositioning

📄Best practices for the interpretation and reporting of clinical whole genome sequencing

📘 Journal: npj Genomic Medicine (I.F=6.083)

🗓Publish year: 2022

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📲Channel: @Bioinformatics
#wgs

📑A review of deep learning applications in human genomics using next-generation sequencing data

📘 Journal: Human Genomics (I.F=6.481)

🗓Publish year: 2022

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📲Channel: @Bioinformatics
#review #deep_learning #genomics #ngs

📃 Navigating the pitfalls of applying machine learning in genomics

📘 Journal: Nature Reviews Genetics (💥I.F.=59.581)

🗓Publish year: 2022

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📲Channel: @Bioinformatics
#review #machine_learning #genomics

🧑‍🏫Learn Bioinformatics Online: Top Courses & Classes

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📲Channel: @Bioinformatics
#course #certificate

📑 A Review of Mathematical and Computational Methods in Cancer Dynamics

🗓Publish year: 2022

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📲Channel: @Bioinformatics
#review #cancer #dynamics

👩‍💻Virtual workshop on Introduction to fundamentals and Bash Scripting for Genomics.

This two-day workshop focuses on the basics of genomics and using Linux for genomics. Further, It will provide concepts, and hands-on training on Linux commands scripts and basics of genomics, such as designing experiments, accessing datasets from different databases, and data uploading to resources like NCBI.

🎙Our speakers, Dr. Meenakshi I (NCBS, India) & Dr.Samdani A (ICOA, France), carry Ph.D. degrees in Bioinformatics with rich of experience in Genomics.

✍️Who can apply?
Anyone interested in learning the basics of Linux and genomics study design and managing sequencing data. The workshop assumes that learners have no or little experience with Linux systems

✳️It is free for Undergraduate students.

👨‍💻For more info & registration, visit our site at
https://www.nyberman.com/internship-trainings/workshop

📲Channel: @Bioinformatics

📰Artificial Intelligence for facilitated drug discovery

🗓Publish date: September 13, 2022

📎 Technical paper

📲Channel: @Bioinformatics

🏛Bioinformatics Course Lectures
💥17 recorded sessions from the California State University, Monterey Bay course BIO410/510 Bioinformatics

🗓Publish date: September, 2021

🎞 Course videos in YouTube

🔹 Some Contents:
▫️ What is genome
▫️ Sequencing technology
▫️ Molecular evolution
▫️ Pairwise sequence alignment
▫️ Phylogenetics and molecular clocks
▫️ Genome Assembly
▫️ Genome Annotation
▫️Genetic Variation, GWAS
▫️Hidden Markov Models
▫️Extreme Value Distribution and BLAST

📲Channel: @Bioinformatics
#video #course

📄Clinical applications of artificial intelligence and machine learning in cancer diagnosis: looking into the future

📘 Journal: Cancer Cell International (I.F.=6.436)

🗓Publish year: 2021

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📲Channel: @Bioinformatics
#review #cancer #machine_learning