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The RooStatsCms (RSC) software framework allows analysis modelling and combination, statistical studies together with the access to sophisticated graphics routines for results visualisation. The goal of the project is to complement the…

Data Analysis, Statistics and Probability · Physics 2010-03-04 D. Piparo , Gregory Schott , G. Quast

The Statistical Toolkit is an open source system specialized in the statistical comparison of distributions. It addresses requirements common to different experimental domains, such as simulation validation (e.g. comparison of experimental…

Computational Physics · Physics 2015-06-11 M Batic , A. M. Paganoni , A. Pfeiffer , M. G. Pia , A. Ribon

Spatial transcriptomics (ST) technologies can be used to align transcriptomes with histopathological morphology, presenting exciting new opportunities for biomolecular discovery. Using ST data, we construct a novel framework, GeneFlow, to…

Quantitative Methods · Quantitative Biology 2025-11-04 Mengbo Wang , Shourya Verma , Aditya Malusare , Luopin Wang , Yiyang Lu , Vaneet Aggarwal , Mario Sola , Ananth Grama , Nadia Atallah Lanman

With the fast-growing and evolving omics data, the demand for streamlined and adaptable tools to handle the analysis continues to grow. In response to this need, we introduce Auto Bioinformatics Analysis (AutoBA), an autonomous AI agent…

Genomics · Quantitative Biology 2023-09-08 Juexiao Zhou , Bin Zhang , Xiuying Chen , Haoyang Li , Xiaopeng Xu , Siyuan Chen , Xin Gao

Summary: Biospectrogam is an open-source software for the spectral analysis of DNA and protein sequences. The software can fetch (from NCBI server), import and manage biological data. One can analyze the data using Digital Signal Processing…

Quantitative Methods · Quantitative Biology 2012-10-05 Naman Turakhia , Nilay Chheda , Manish K. Gupta , Ruchin Shah , Jigar Raisinghani

In today's world of big data, computational analysis has become a key driver of biomedical research. Recent exponential growth in the volume of available omics data has reshaped the landscape of contemporary biology, creating demand for a…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-09 Jaqueline J. Brito , Thiago Mosqueiro , Jeremy Rotman , Victor Xue , Douglas J. Chapski , Juan De la Hoz , Paulo Matias , Lana Martin , Alex Zelikovsky , Matteo Pellegrinni , Serghei Mangul

Scientific workflow management systems offer features for composing complex computational pipelines from modular building blocks, for executing the resulting automated workflows, and for recording the provenance of data products resulting…

This paper presents maplet, an open-source R package for the creation of highly customizable, fully reproducible statistical pipelines for omics data analysis, with a special focus on metabolomics-based methods. It builds on the…

The surge in high-throughput omics data has reshaped the landscape of biological research, underlining the need for powerful, user-friendly data analysis and interpretation tools. This paper presents GenoCraft, a web-based comprehensive…

Profiling data by plotting distributions and analyzing summary statistics is a critical step throughout data analysis. Currently, this process is manual and tedious since analysts must write extra code to examine their data after every…

Human-Computer Interaction · Computer Science 2023-08-09 Will Epperson , Vaishnavi Gorantla , Dominik Moritz , Adam Perer

In this paper, we present a nonlinear analysis software toolkit, which can help in biomechanical gait data analysis by implementing various nonlinear statistical analysis algorithms. The toolkit is proposed to tackle the need for an…

Emerging Technologies · Computer Science 2023-11-14 Shifat Sarwar , Aaron Likens , Nick Stergiou , Spyridon Mastorakis

Apart from forming the backbone of compiler optimization, static dataflow analysis has been widely applied in a vast variety of applications, such as bug detection, privacy analysis, program comprehension, etc. Despite its importance,…

Programming Languages · Computer Science 2024-12-18 Zewen Sun , Yujin Zhang , Duanchen Xu , Yiyu Zhang , Yun Qi , Yueyang Wang , Yi Li , Zhaokang Wang , Yue Li , Xuandong Li , Zhiqiang Zuo , Qingda Lu , Wenwen Peng , Shengjian Guo

Synthetic datasets play a critical role in pre-training CNN models for optical flow, but they are painstaking to generate and hard to adapt to new applications. To automate the process, we present AutoFlow, a simple and effective method to…

Computer Vision and Pattern Recognition · Computer Science 2021-04-30 Deqing Sun , Daniel Vlasic , Charles Herrmann , Varun Jampani , Michael Krainin , Huiwen Chang , Ramin Zabih , William T. Freeman , Ce Liu

OLAF (Open Life Science Analysis Framework) is an open-source platform that enables researchers to perform bioinformatics analyses using natural language. By combining large language models (LLMs) with a modular agent-pipe-router…

Quantitative Methods · Quantitative Biology 2025-04-14 Dylan Riffle , Nima Shirooni , Cody He , Manush Murali , Sovit Nayak , Rishikumar Gopalan , Diego Gonzalez Lopez

Large systems biology projects can encompass several workgroups often located in different countries. An overview about existing data standards in systems biology and the management, storage, exchange and integration of the generated data…

Databases · Computer Science 2009-12-15 Gerhard Mayer

Human-in-the-loop data analysis applications necessitate greater transparency in machine learning models for experts to understand and trust their decisions. To this end, we propose a visual analytics workflow to help data scientists and…

Machine Learning · Statistics 2017-10-03 Josua Krause , Aritra Dasgupta , Jordan Swartz , Yindalon Aphinyanaphongs , Enrico Bertini

Expanding on neural operators, we propose a novel framework for stochastic process learning across arbitrary domains. In particular, we develop operator flow matching (OFM) for learning stochastic process priors on function spaces. OFM…

Machine Learning · Computer Science 2025-10-14 Yaozhong Shi , Zachary E. Ross , Domniki Asimaki , Kamyar Azizzadenesheli

We present ST2, an end-to-end solution to analyze distributed dataflows in an online setting. It is powered by Timely Dataflow, a low-latency, distributed data-parallel dataflow computational framework, and expands on its predecessor…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-12-23 Malte Sandstede

A lot of research relies on data analysis scripts to process, clean, and visualize data. However, recent studies show that these scripts are often hard to comprehend and maintain, hindering reproducibility and reuse, accompanied by a lack…

Software Engineering · Computer Science 2026-04-20 Florian Sihler , Oliver Gerstl , Lars Pfrenger , Julian Schubert , Matthias Tichy

In the rapidly evolving field of bioimaging, the integration and orchestration of Findable, Accessible, Interoperable, and Reusable (FAIR) image analysis workflows remains a challenge. We introduce BIOMERO, a bridge connecting OMERO, a…

Software Engineering · Computer Science 2024-07-26 Torec T. Luik , Rodrigo Rosas-Bertolini , Eric A. J. Reits , Ron A. Hoebe , Przemek M. Krawczyk