A resource for improving software used in scientific analysis.

Seattle Quant: A Resource for the Skyline Software Ecosystem

['FUNDING_OTHER'] · UNIVERSITY OF WASHINGTON · NIH-11103408

This study is working on making the Skyline software better for scientists who analyze mass spectrometry data, which could eventually help improve diagnoses and treatments for patients by providing more accurate research results.

Quick facts

Phase['FUNDING_OTHER']
Study typeNih_funding
SexAll
SponsorUNIVERSITY OF WASHINGTON (nih funded)
Locations1 site (SEATTLE, UNITED STATES)
Trial IDNIH-11103408 on ClinicalTrials.gov

What this research studies

This research aims to enhance the Skyline software ecosystem, which is widely used for analyzing mass spectrometry data. By developing new resources and tools, the project seeks to improve the accuracy and efficiency of data analysis in various scientific fields. Patients may benefit indirectly through advancements in research that rely on precise data interpretation, potentially leading to better diagnostics and treatments. The approach involves collaboration with software developers and researchers to ensure that the tools meet the needs of the scientific community.

Who could benefit from this research

Good fit: Patients involved in studies that utilize mass spectrometry data analysis may benefit from this research.

Not a fit: Patients not engaged in research that relies on mass spectrometry or related data analysis may not see direct benefits from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate and efficient data analysis in scientific studies, ultimately improving patient outcomes through better research findings.

How similar studies have performed: While the specific enhancements to the Skyline software ecosystem may be novel, similar software improvements have historically led to significant advancements in data analysis across various scientific fields.

Where this research is happening

SEATTLE, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.