Scientific Computing and Data Management

Porcupine is a visual tool that creates reproducible neuroimaging analysis pipelines by generating code and Docker environments, improving transparency and shareability.

BioPyramid provides a python package to streamline the development of online genomics applications with built-in tools for gene annotation, dataset management, and visualization.

The paper proposes using Kafka streams to improve genomic data processing pipelines by enabling scalable, fault-tolerant, and composable workflows.

Sequanix provides a graphical interface for Snakemake workflows to make them more accessible to a broader audience.

The paper introduces BiocImageBuilder, a tool that enables reproducible bioinformatics workflows through interactive notebooks and containers.

The paper presents a microservice-based framework for building interactive data exploration tools in systems biology, demonstrating it with a breast cancer transcriptional analysis web application.

wft4galaxy provides automated testing for Galaxy workflows to enable continuous integration and defect detection.

The paper introduces Bio-Docklets, Docker containers that simplify NGS pipeline execution by abstracting complex workflows into single-step tools.

The paper discusses the importance of sharing computational code in neuroscience and highlights challenges in current practices.

BioMake improves upon GNU Make by adding cluster support, MD5 signatures, and Prolog extensions for better bioinformatics workflow management.

This paper introduces BIDS Apps, a framework for creating portable neuroimaging analysis tools compatible with BIDS data, improving reproducibility and ease of use.

BioBlocks provides a visual programming environment for automating biological experiments without requiring programming expertise.

The paper introduces Rabix Executor, an open-source workflow engine that enhances reproducibility through reusability and interoperability of workflow descriptions.