434 Open source projects that are alternatives of or similar to Ngseasy

Data intensive science for everyone.

An automated RNA-seq pipeline using Nextflow

DNAscan is a fast and efficient bioinformatics pipeline that allows for the analysis of DNA Next Generation sequencing data, requiring very little computational effort and memory usage.

List of IARC bioinformatics nextflow pipelines

Exome/Capture/RNASeq Pipeline Implementation using snakemake

A pipeline for preprocessing NGS data from Illumina, Nanopore and PacBio technologies

Multi-sample somatic variant caller

UGENE is free open-source cross-platform bioinformatics software

MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.

A simplified pipeline for ctDNA sequencing data analysis

Codefresh runtime-environment agent

Shared Library for Jenkine Pipeline

🌅 Dawn is a lightweight task management and build tool for front-end and nodejs.

integrated RNA-seq Analysis Pipeline

A full-stack DevOps on AWS framework

Analysis pipelines for sequencing data

Simple Automated CI/CD Pipeline for GitHub and GitLab Projects

Curated set of transformers that make your work with steppy faster and more effective 🔭

EnsEMBL Hive - a system for creating and running pipelines on a distributed compute resource

parameterized pipe in elixir: |n>

Estimation of per-individual inbreeding coefficients under a probabilistic framework

MLBox is a powerful Automated Machine Learning python library.

ABRA2

contains handy groovy workflow-libs scripts

A python-based isomiR quantification and analysis pipeline

A reliable, high-performance tool for building observability data pipelines.

An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

streaming pipeline with a mutable configuration

NLP pipeline software using common workflow language

The Darkest Pipeline - Multithreaded pipelines for modern C++

Connect processes into powerful data pipelines with a simple git-like filesystem interface

SalmonTE is an ultra-Fast and Scalable Quantification Pipeline of Transpose Element (TE) Abundances

PyTorch extensions for fast R&D prototyping and Kaggle farming

Jenkins-Plugin to create a multi-branch-project from gitlab

Automatic Packaging and Distribution of Bioinformatics Pipelines

For extensive instructor led learning

An n:m message multiplexer written in Go

A method for variant graph genotyping based on exact alignment of k-mers

A simple and lightweight Rust library for making iterator pipelines concurrent

Groovy pipeline jobs that build and test Container Linux with Jenkins

Transposon Insertion Finder - Detection of new insertions in NGS data

TADbit is a complete Python library to deal with all steps to analyze, model and explore 3C-based data. With TADbit the user can map FASTQ files to obtain raw interaction binned matrices (Hi-C like matrices), normalize and correct interaction matrices, identify and compare the so-called Topologically Associating Domains (TADs), build 3D models from the interaction matrices, and finally, extract structural properties from the models. TADbit is complemented by TADkit for visualizing 3D models

🍴 Web applications made easy. Since 2011.

Official code repository for GATK versions 4 and up

Stetl, Streaming ETL, is a lightweight geospatial processing and ETL framework written in Python.

Catalyst.Segmentation

Data Stream Processing API for GO

(No maintenance) Detect gene fusion directly from raw fastq files

DEPRECIATED! Please use nf-core/tools instead

HTS-compatible wrapper for IgBlast V-(D)-J mapping tool

A robust model for quantitative comparison of ChIP-Seq data sets.

Robust and efficient workflows using a simple language agnostic approach

Scrapy pipeline to store chunked items into Amazon S3 or Google Cloud Storage bucket.

stream splicer with labels

Estimation of pairwise distances under a probabilistic framework

A simple longslit spectroscopy pipeline in Python

Robust, flexible and resource-efficient pipelines using Go and the commandline

A cloud-native Pipeline resource.

Example workflows for the drake R package