Bioinformatics
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Bioinformatics, Computational Biology & Systems Biology

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πŸ§‘β€πŸ”¬Systematic review of computational methods for predicting long noncoding RNAs
New paper from Briefings in Functional Genomics journal

πŸ”— https://doi.org/10.1093/bfgp/elab016

πŸ—’From Abstract:
Long non-coding RNAs are a type of RNA, defined as being transcripts with lengths exceeding 200 nucleotides that are not translated into protein. In recent years, many computational methods have been developed to predict lncRNAs from transcripts, 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.

πŸ“²Channel: @Bioinformatics
πŸ‘¨β€πŸ« Microbial Community Analysis Workshop
πŸ†“Free and Virtual

πŸ—“ May 18-27, 2021

πŸ’₯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/

πŸ“²Channel: @Bioinformatics
πŸ‘¨β€πŸ« Vacancy
Tenure track 'Group leader translational tumor bioinformatics'

βœ…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

πŸ“²Channel: @Bioinformatics
πŸ–₯ Fantastic databases and where to find them: Web applications for researchers in a rush

πŸ”— https://www.scielo.br/scielo.php?pid=S1415-47572021000300801&script=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.

πŸ“²Channel: @Bioinformatics
Free Online Book for
πŸ“–Biomedical Data Science

πŸ–‡http://genomicsclass.github.io/book/

Channel: @Bioinformatics
πŸ§‘β€πŸ«*NGS Data Analysis Workshop*
Learn the most demanded skill in Bioinformatics without the need to code!!

⏱ *When :* 19 - 22 April | 6:30 to 8:30 PM IST

πŸ’΅ *Fee :* Rs 1000 for Indian Nationals | USD 20 for Foreign Nationals

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

ℹ️ Click here to know more and register

πŸ“²Channel: @Bioinformatics
πŸ₯ Building the learning ecosystem of health:
from data tracking to preventive medicine

https://www.youtube.com/watch?v=0oHGSeC25Pk

share your ideas at the ELIXIR Innovation and SME Forum, organized on 13 September 2021 as part of the BC2 Basel Computational Biology Conference.

⏳ Abstract submission deadline: 16 April

ℹ️ More information: https://www.bc2.ch/elixir-forum​

πŸ“²Channel: @Bioinformatics
πŸ’½ Sharing biological data: why, when, and how

https://febs.onlinelibrary.wiley.com/doi/10.1002/1873-3468.14067

πŸ’₯Here, you can see good practices to make your biological data publicly accessible and usable, generally and for several specific kinds of data.

πŸ“² Channel: @Bioinformatics
πŸ‘1
πŸ“˜ Data Analysis and Visualization in R

These online lessons below were designed for those interested in working with genomics data in R. This is an introduction to R designed for participants with no programming experience. These lessons can be taught in a day (~ 6 hours). They start with some basic information about R syntax, the RStudio interface, and move through how to import CSV files, the structure of data frames, how to deal with factors, how to add/remove rows and columns, how to calculate summary statistics from a data frame, and a brief introduction to plotting. The last lesson demonstrates how to work with databases directly from R

πŸ”—https://datacarpentry.org/R-genomics

πŸ“²Channel: @Bioinformatics
πŸ‘©β€πŸ’» Sample practical research of genome-wide association study using microarray gene expression

https://www.sciencedirect.com/science/article/pii/S1319562X21002825

πŸ“²Channel: @Bioinformatics
πŸ‘¨β€πŸ« Registration is open for three week Bioinformatics workshop for
πŸ’₯Cancer Biomarker DiscoveryπŸ’₯

✍️ Registration Link
https://decodelife.org
πŸ“§Or contact
decodelife.org@gmail.com

πŸ’² Fees: Rupees 1000 For Indian Participant. / Dollar 20 (USA) for Foreign Participant.
We have kept nominal fees in order to ensure that only serious candidates participate.

πŸ’₯Key Features :
▫️E- Certificate of participation
▫️Global Instructors
▫️Videos access for all sessions

πŸ“²Channel: @Bioinformatics
πŸ‘¨β€πŸ« NIH Data Science Seminar Series
An Algorithm for Inferring Kinase Activity from Patient Phosphoproteomic Data

πŸ†“
Free and Virtual

πŸ—“ Wednesday, May 19, 2021 11:00 am
Eastern Daylight Time (New York, GMT-04:00)

✍️ Register here

ℹ️ More information

πŸ“²Channel: @Bioinformatics
πŸ‘1
πŸ§‘β€πŸ’» A practical tutorial with a metagenomic approach
πŸ”Ή for laboratory biologists with no previous knowledge of bioinformatics

πŸ”ΉLearn to use use four bioinformatics web applications (BLASTp, Clustal Omega, Cons, Reverse Translate) and two biochemical databases (UniProt and BRENDA)
for identification of a novel bacterial enzyme from a seawater metagenomic sample

πŸ–‡ Study the tutorial

πŸ“²Channel: @Bioinformatics
🧾 Gene Inference and Analysis Workflow
(A): Expression data generation platform (B): In-silico inference of networks (C): Post inference
network analysis

πŸ““ Source: Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms, 2020

πŸ“²
Channel: @Bioinformatics