BOL: Related items

alluvial diagram

Jit — Sat, 21 Sep 2019 07:31:08 -0500

Alluvial diagram is a variant of a Parallel Coordinates Plot (PCP) but for categorical variables. Variables are assigned to vertical axes that are parallel. Values are represented with blocks on each axis. Observations are represented with alluvia (sing. “alluvium”) spanning across all the axes.

Address of the bookmark: https://cran.r-project.org/web/packages/alluvial/vignettes/alluvial.html

EFS: an ensemble feature selection tool implemented as R-package and web-application

Jit — Tue, 28 Jan 2020 05:12:23 -0600

The software EFS (Ensemble Feature Selection) makes use of multiple feature selection methods and combines their normalized outputs to a quantitative ensemble importance. Currently, eight different feature selection methods have been integrated in EFS, which can be used separately or combined in an ensemble.

https://biodatamining.biomedcentral.com/articles/10.1186/s13040-017-0142-8

Address of the bookmark: http://efs.heiderlab.de/

Instructions for Creating Your Own R Package

Jit — Wed, 19 Feb 2020 01:22:48 -0600

The following is a step-by-step guide to creating your own R package. Even beyond this course, youmay find this useful for storing functions you create for your own research or for editing existingR packages to suit your needs.

This guide contains three different sets of instructions. If you use RStudio, you can follow the “Ba-sic Instructions” in Section 2 which involve using RStudio’s interface.

Address of the bookmark: http://web.mit.edu/insong/www/pdf/rpackage_instructions.pdf

Platypus – R package for object detection and image segmentation.

BioStar — Mon, 09 Nov 2020 02:56:25 -0600

platypus is an R package for object detection and semantic segmentation. Currently using

platypus you can perform:

multi-class semantic segmentation using U-Net architecture
multi-class object detection using YOLOv3 architecture

You can install the latest version of platypus with remotes package:

remotes::install_github("maju116/platypus")

Note that in order to install platypus you need to install keras and tensorflow packages and Tensorflow version >= 2.0.0 ( Tensorflow 1.x will not be supported!)

Address of the bookmark: https://github.com/maju116/platypus

R Shiny in Life Sciences – Top 7 Dashboard Examples

Neel — Fri, 01 Apr 2022 19:05:03 -0500

R Shiny is one of the easiest ways for developers to make production-ready dashboards when speed and functionality are crucial. Shiny is approachable with a lot of documentation available, and because of this, a lot of developers/researchers with non-coding backgrounds are able to produce some impressive results. The whole ecosystem is easy to get your head around and pretty much limitless with regard to what you can do.

Address of the bookmark: https://www.r-bloggers.com/2022/03/r-shiny-in-life-sciences-top-7-dashboard-examples/

R Package for PCA Analysis

LEGE — Sun, 24 Mar 2024 20:06:24 -0500

An R package for performing principal component analysis (PCA) of genomics data. The package performs PCA, generates the publication-ready plots, and identifies population-specific outlier individuals. The package can be accessed on GitHub: https://github.com/Devashish13/PopulationStructure

Address of the bookmark: https://rpubs.com/Devashish13/PCAGenomics

NCBI Webinar

Jit — Sun, 08 Jun 2014 02:47:01 -0500

In less than two weeks, NCBI will offer a webinar entitled "Introducing 3 NCBI Resources to Navigate Testing for Disease Linked Variants: MedGen, GTR and ClinVar". This webinar will delve into the lifecycle of genetic testing and teach attendees how to navigate the NIH Genetic Testing Registry, ClinVar, and MedGen resources. These resources can be used to prepare for clinical cases, access detailed information about orderable genetic tests, interpret test results, and more.

More at https://attendee.gotowebinar.com/register/8452228815737989634

Webinar: Unravelling complex mutational events in clinical cases using the power of NGS data analysis by Dr Satish Sankaran on 31 Jan 2018

Strand — Tue, 26 Dec 2017 02:00:26 -0600

Live webinar on Unravelling complex mutational events in clinical cases using the power of Next generation sequencing data analysis by Dr Satish Sankaran on 31 Jan 2018 at 9am CET and 8am PST

Speaker: Dr. Satish Sankaran, Vice President and Lab Director - Clinical Operations & Clinical Lab, Strand Life Sciences Pvt Ltd

Abstract: Next Generation sequencing has come a long way in aiding genetic disease diagnosis by bringing down both the time and cost of testing. Testing involves massively parallel sequencing of a single to 100s of genes in a one assay. With a large amount of sequence data getting generated from such assays, it is critical that the data is analyzed using standard analysis tools to detect wide range of variants. Strand Life Sciences, has tested more than 3000 clinical samples using multi-gene panels for diagnosis of rare disease conditions. NGS data analysis is done using the Strand NGS software and variant prioritization and reporting using StrandOMICS.

While most analysis software can easily detect single nucleotide variants, the complex ones involving insertions and deletions are usually missed. With multiple iterations the Strand NGS software is trained to effectively detect structural and copy number changes from a single NGS data set. This is critical in certain disease conditions like Retinoblastoma and Duchenne’s Muscular Dystrophy where there are clinically relevant deletions reported.

In this presentation, we present four different case studies where we were able to detect mutations due to unusual and difficult regions in the genome from the NGS data. These results were further confirmed using orthologous methods.

Session 1: 31 Jan 2018; 9:00 AM CET
Session 2: 31 Jan 2018; 8:00 AM PST

Prof. Dr. rer. nat. Jeanette Erdmann's Lab

Sun, 17 Dec 2017 10:29:18 -0600

Her prestigious lab working on Integrative and Experimental genomics to understand the underlying mechanism thats able to define an inherited predisposition of coronary artery disease (CAD) and myocardial infarction (MI) via GWAS, different Sequencing technologies and Functional genomics. Her lab is located at Institute for Cardio-genetics Universität zu Lübeck, Maria-Goeppert-Str. 1, 23562 Lübeck.

Tel +49 451 3101 8301
cardiogenetics(at)uni-luebeck.de

http://cardiogenetics-luebeck.de/

R package for visualising GO enrichment

Jit — Mon, 22 Jul 2013 12:25:09 -0500

An R package that visualizes the GO enrichment results as word clouds and arranges them together with figures of experimental data. This allows us to draw informative summary plots for analyses such as differential expression or clustering, where for each gene list we display its behaviour in the experiment alongside with its GO annotations.

Links @ http://raivokolde.github.io/GOsummaries/

Lab @ http://biit.cs.ut.ee/about/main