Erika Dvarionaite's Projects
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π€Ή Shiny tips & tricks for improving your apps and solving common problems
My solutions for the projects in automate the boring stuff with python
π Awesome lists about all kinds of interesting topics
A curated list of awesome nanopore analysis tools.
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
A collection of awesome things regarding React ecosystem
A curated list of awesome READMEs
π Awesome R packages that offer extended UI or server components for the R web framework Shiny
Deploy Azure Rest API
My solutions to Codewars challenges for R, Python, Shell, SQL and Julia. Please leave a β, if you found this resource useful.
CRC prediction models based on functional profiling of the gut microbiome
Code and analysis results for the CRC shotgun meta-analysis
List of Computer Science courses with video lectures.
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Easy Dockerfile Creation from R
GitHub profile
A collection of useful .gitignore templates
Investigating the gut virus communities associated with colon cancer.
First attempt
RStudio hex stickers
Scripts and Samples for the KQL Pluralsight Course Created in 2022
Language Savant. If your repository's language is being reported incorrectly, send us a pull request!
Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lΓΆsungen, linkedin machine learning test LinkedIn test questions and answers
Learn how to responsibly deliver value with machine learning.
Identify the sequence context flanking SNPs of interest and screen for potential profiles/signatures of interest
Removal of human reads from ncov nanopore sequencing data