👨‍🏫 A guide to exploring genes and genomes with Ensembl
Free webinar from EMBL-EBI
This webinar is suitable to any researcher in life sciences who is interested in studying genes and genomes. No prior knowledge of bioinformatics is required, but an undergraduate level knowledge of biology would be useful.

🗓 Apr 14, 2021 03:30 PM in London

✍️ Register here

ℹ️ More information:
https://www.ebi.ac.uk/training/events/guide-exploring-genes-and-genomes-ensembl/#vf-tabs__section--tab1

📲Channel: @Bioinformatics

🏎 Copenhagen Bioinformatics Hackathon 2021
The event is 100% remote - so you and everybody else will be hacking from home

🗓 Friday 23rd April 18.00 CET to Sunday 25th April 14.00
Application Deadline: 10th of April

✍️ Register here

ℹ️ More information

📲Channel: @Bioinformatics

🧬Cancer May Be Driven by DNA Outside of Chromsomes

https://www.the-scientist.com/features/cancer-may-be-driven-by-dna-outside-of-chromosomes-68590

📲Channel: @Bioinformatics

💉Scientists post the Moderna vaccine's sequence on GitHub

https://mashable.com/article/moderna-covid-19-vaccine-github-code/

📲Channel: @Bioinformatics

💻 Developing and Implementing Cloud-Based Tutorials That Combine Bioinformatics Software, Interactive Coding, and Visualization Exercises for Distance Learning on Structural Bioinformatics

💥From paper abstract:
Following a cloud-based approach, we migrated the practical activities of a course on molecular modeling and simulation into the Google Colaboratory environment resulting in 12 tutorials that introduce students to topics such as phylogenetic analysis, molecular modeling, molecular docking, several flavors of molecular dynamics, and coevolutionary analysis. Each of these notebooks includes a brief introduction to the topic, software installation, execution of the required tools, and analysis of results, with each step properly described.

💥Download the paper from here:
https://pubs.acs.org/doi/10.1021/acs.jchemed.1c00022

💥All tutorials are freely available at:
https://github.com/pb3lab/ibm3202

📲Channel: @Bioinformatics

👨‍🏫 Machine learning workshop; A full-fledged practical guide for beginners

✍️ Registration Link
www.zenitiq.com

🏅The workshop will be conducted by certified trainer and certificates will be provided to all the participants.

📆 17th and 18th April 2021
⏰ 2 - 5pm MYT (GMT +8)

💻ZOOM PLATFORM

📖Course content:
📌Introduction to machine learning using R Programming
📌Modelling using machine learning algorithms
📌Feature selection using machine learning
📌Interpretation of modelling and feature selection

📲Channel: @Bioinformatics

👨‍🏫 Free Mathematical Biology Seminar
The Enigma Story: From Alan Turing & James Bond to BlackBerry & Quantum Encryption

🗓Monday, April 12, 2021
3 pm – Virtual

💻 Click to Join Zoom Meeting
Meeting ID: 991 2869 3119
Passcode: 533614

By:
Peter Berg
Professor in Mathematics & Physics, Chair
Department of Science
University of Alberta - Augustana Campus

📲Channel: @Bioinformatics

📑 Computational resources for identification of cancer biomarkers from omics data
Paper published in Briefings in Functional Genomics, 01 April 2021

⬇️ Download Link:
https://doi.org/10.1093/bfgp/elab021

📲Channel: @Bioinformatics

🎓 Online MSc Bioinformatics

💥Flexible, 100% online study
⏰ Duration: 2.5 Years
🗓 Start Date: June 2021
✍️ More information: Click here

📲Channel: @Bioinformatics

🧬Everything about RNA-Seq

🔗 https://rnaseq.uoregon.edu/

The purpose of this site is to provide a comprehensive discussion of each of the steps that are involved in performing RNA-seq, and to highlight the primary options that are available along with some guidance for choosing between various options. The primary content is topically organized according to the work-flow of a typical RNA-seq experiment.

📲Channel: @Bioinformatics

🧾 Computational network biology: Data, models, and
applications

A review paper from Physics Reports (IF=25.79)
https://doc.rero.ch/record/328505/files/zha_cnb.pdf

Biological entities are involved in intricate and complex interactions, in which uncovering the biological information from the network concepts are of great significance. Benefiting from the advances of network science and high-throughput biomedical technologies, studying the biological systems from network biology has attracted much attention in recent years, and networks have long been central to our understanding of biological systems, in the form of linkage maps among genotypes, phenotypes, and the corresponding environmental factors. In this review, we summarize the recent developments of computational network biology, first introducing various types of biological networks and network structural properties. We then review the network-based approaches, ranging from some network metrics to the complicated machine-learning methods, and emphasize how to use these algorithms to gain new biological insights. Furthermore, we highlight the application in neuroscience, human disease, and drug developments from the perspectives of network science, and we discuss some major challenges and future directions. We hope that this review will draw increasing interdisciplinary attention from physicists, computer scientists, and biologists.

📲Channel: @Bioinformatics

🦷 Antibody May Be Able to Regenerate Missing Teeth

🗞 News detail
https://www.kyoto-u.ac.jp/en/research-news/2021-03-31

📎 Publication information:
https://doi.org/10.1126/sciadv.abf1798

📲Channel: @Bioinformatics

🎞 Introduction to Machine Learning on Biomedical Data
▫️Free recorded Online Course
▫️Video+Required files

The course will begin with a very brief overview of the mathematical foundations of ML, specifically linear regression, logistic regression, and multilayer perceptrons. Applying these models to the well-studied dataset of hand written digits, MNIST, we’ll gain first-hand experience with model selection, training and validation. We will then introduce several abstractions from...
🖇 Course link

📲Channel: @Bioinformatics

🔬 Can one mRNA molecule be a template for multiple proteins in eukaryotes?

📹 https://phys.org/news/2021-02-video-green-algae-reveals-mrna.html

🗒Research link:
DOI: 10.1073/pnas.2017714118

📲Channel: @Bioinformatics

🧑‍🔬Systematic review of computational methods for predicting long noncoding RNAs
New paper from Briefings in Functional Genomics journal

🔗 https://doi.org/10.1093/bfgp/elab016

🗒From Abstract:
Long non-coding RNAs are a type of RNA, defined as being trannoscripts with lengths exceeding 200 nucleotides that are not translated into protein. In recent years, many computational methods have been developed to predict lncRNAs from trannoscripts, but there is no systematic review on these computational methods. In this review, authors introduce databases and features involved in the development of computational prediction models, and subsequently summarize existing state-of-the-art computational methods, including methods based on binary classifiers, deep learning and ensemble learning. However, a user-friendly way of employing existing state-of-the-art computational methods is in demand. Therefore, they develop a Python package ezLncPred, which provides a pragmatic command line implementation to utilize nine state-of-the-art lncRNA prediction methods. Finally, we discuss challenges of lncRNA prediction and future directions.

📲Channel: @Bioinformatics

👨‍🏫 Microbial Community Analysis Workshop
🆓Free and Virtual

🗓 May 18-27, 2021

💥Topics:
The workshop will cover best practices in bioinformatics analysis of amplicon-based microbial community data – using a 16S rRNA data set. Participants will learn to retrieve sequence data from the NCBI Sequence Read Archive (SRA), and will then use a BASH command-line environment on the Biomix computational cluster to perform sequence analysis. R will be used to perform downstream analysis and visualization of those data. Compositional statistical methods will be introduced and used throughout.

✍️ Register here
Seats are limited

ℹ️ More information:
https://bioinformatics.udel.edu/core/mcaw-2021/

📲Channel: @Bioinformatics

👨‍🏫 Vacancy
Tenure track 'Group leader translational tumor bioinformatics'

✅Tasks:
-Development of innovative technologies and bioinformatics for tumor diagnostics in close collaboration with laboratory specialists.
-Development of a research line in tumor bioinformatics.
-Academic supervision of bioinformaticians responsible for the implementation of innovative tumor diagnostics.
-Development of research collaborations with related research groups

ℹ️ Click here for More information

📲Channel: @Bioinformatics

🖥 Fantastic databases and where to find them: Web applications for researchers in a rush

🔗 https://www.scielo.br/scielo.php?pid=S1415-47572021000300801&noscript=sci_arttext

from Abstract
Here, we present an overview of human databases with web applications. The databases and tools allow the search of biological sequences, genes and genomes, gene expression patterns, epigenetic variation, protein-protein interactions, variant frequency, regulatory elements, and comparative analysis between human and model organisms. The goal is to provide an opportunity for exploring large datasets and analyzing the data for users with little or no programming skills. Public user-friendly web-based databases facilitate data mining and the search for information applicable to healthcare professionals. To show the databases at work, we present a case study using ACE2 as example of a gene to be investigated. The analysis and the complete list of databases is available in the paper.

📲Channel: @Bioinformatics

👶 Human placentas routinely consist of a quilt of different genotypes, and this strange heterogeneity may actually play a role in protecting the fetus from genetic harm

🖇https://www.quantamagazine.org/new-genomic-study-of-placenta-finds-deep-links-to-cancer-20210408

📑 Main research link

📲Channel: @Bioinformatics

Free Online Book for
📖Biomedical Data Science

🖇http://genomicsclass.github.io/book/

Channel: @Bioinformatics