Scientific Computing and Data Management

PromptBio introduces a multi-agent AI platform for scalable, reproducible bioinformatics analysis using generative AI and natural language interaction.

The paper introduces a programming language to formalize biological protocols and handle errors, enabling error analysis through probabilistic inference.

The paper introduces o2S2PARC, an open-source platform for computational modeling and analysis, highlighting its features, applications, and adoption.

dnaudit and Pydnaweb provide a no-code, reproducible workflow for documenting and validating genetic cloning strategies with automated verification.

BioMedTools uses language models to create a community for biomedical computational tools, improving tool discovery and accessibility.

The paper proposes adapting FAIR indicators to assess and improve the quality and transparency of computational models in biology.

FlowAgent automates bioinformatics workflows with an agent-based system, improving reproducibility and accessibility through intelligent decision-making and natural language interfaces.

The paper introduces AIRUS, an AI-assisted workflow enabling scientists to use LLMs for hypothesis generation, coding, and result interpretation without extensive AI expertise.

pipemake creates modular Snakemake workflows for reproducible biological data analysis, reducing hands-on time and enabling flexible pipeline adaptation.

Cloudgene 3 converts Nextflow pipelines into web services, enabling easy sharing and collaboration without technical expertise.

BioOS provides a cloud-native platform for reproducible biomedical research by integrating data, code, tools, and environments into workspaces, enhancing data integrity and accessibility.

scGNN+ integrates ChatGPT with graph neural networks to improve code optimization, tutorial generation, and visualization in single-cell research.

BMAP provides a platform for managing and analyzing biomedical data, improving reproducibility and efficiency in research workflows.

Maloja simplifies cloud deployment of Snakemake workflows by automatically scaling AWS resources, tested on ecological genomics tasks.

The paper introduces a web-based platform for building bioinformatics workflows using APIs, enabling hypothesis generation across multiple data sources.

The paper introduces nf-test, a testing framework for Nextflow pipelines that improves reliability, reduces test time, and enhances software quality through modular and efficient testing.

This paper introduces BIA, an intelligent agent using LLMs to automate bioinformatics tasks, demonstrating its effectiveness with scRNA-seq data and outlining strategies for improvement.

This study attempts to reproduce a high-impact publication using a multi-agent system of LLMs, highlighting both capabilities and challenges in automating scientific research.

Spyglass provides a reproducible and shareable framework for neuroscience research, enabling data reuse and analysis across labs using standardized formats and pipelines.

BioMANIA provides a codeless, AI-driven bioinformatics pipeline that simplifies omics data analysis by interpreting natural language instructions and integrating existing tools.

Flow provides a web platform and database for managing and analyzing large-scale bioinformatics data, addressing challenges in data processing, quality, and accessibility.

The paper develops a multi-omics data analysis workflow packaged as a FAIR Digital Object to improve reproducibility and reuse in computational research.

This paper introduces a protocol to create a FAIR collection of machine learning models in life sciences and medicine, aiming to improve reproducibility and reuse through community curation.

ENCODE's containerised Workflow Description Language pipelines for ChIP-seq, ATAC-seq, DNase-seq, RNA-seq variants, Hi-C and bisulfite sequencing run on cloud or local clusters, with documented compute costs and provenance.

Minuteman provides a secure cloud platform for collaborative biomedical data analysis with features for data management, access control, and interactive exploration.

The Labbing Project presents a web application for neuroimaging data aggregation and preprocessing, designed to simplify data management for researchers with limited programming experience.

This paper examines the impact of application parameters on bioinformatics tools and proposes a methodology to systematically explore these parameters across different tools and scientific inquiries.

Snakeobjects extends Snakemake to simplify workflow development, improve readability, and maintain portability and scalability.

This paper meta-analyzes single-cell method benchmarks to identify challenges in extensibility, interoperability, and reproducibility.

saks-nf simplifies Nextflow pipeline creation using JSON, enabling non-programmers to build and manage complex workflows without coding.