Appian

APPIAN is an open-source automated software pipeline for analyzing PET images in conjunction with MRI. The goal of APPIAN is to make PET tracer kinetic data analysis easy for users with moderate computing skills and to facilitate reproducible research.
Alternatives To Appian
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
Nextflow2,447165 months ago250November 24, 2023336apache-2.0Groovy
A DSL for data-driven computational pipelines
Drake1,329151a month ago47November 06, 2023gpl-3.0R
An R-focused pipeline toolkit for reproducibility and high-performance computing
Targets860
2 months agootherR
Function-oriented Make-like declarative workflows for R
Sarek299
5 months ago180mitNextflow
Analysis pipeline to detect germline or somatic variants (pre-processing, variant calling and annotation) from WGS / targeted sequencing
Sunbeam157
5 months ago14HTML
A robust, extensible metagenomics pipeline
Steppy134
56 years ago16November 23, 201816mitPython
Lightweight, Python library for fast and reproducible experimentation :microscope:
Seq2science132
7 months ago18mitPython
Automated and customizable preprocessing of Next-Generation Sequencing data, including full (sc)ATAC-seq, ChIP-seq, and (sc)RNA-seq workflows. Works equally easy with public as local data.
Sarek126
4 years agon,ullmitNextflow
Detect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
Targets Tutorial90
7 months agootherR
Short course on the targets R package
Bacannot85
7 months ago10gpl-3.0Nextflow
Generic but comprehensive pipeline for prokaryotic genome annotation and interrogation with interactive reports and shiny app.
Alternatives To Appian
Select To Compare


Alternative Project Comparisons
Popular Pipeline Projects
Popular Reproducible Research Projects
Popular Data Processing Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.
Javascript
Docker
Pipeline
Neuroscience
Reproducible Research
Neuroimaging