Searching across hundreds of databases

Our searching services are busy right now. Your search will reload in five seconds.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

X
Forgot Password

If you have forgotten your password you can enter your email here and get a temporary password sent to your email.

Building a collaborative cloud platform to accelerate heart, lung, blood, and sleep research.

Stan Ahalt | Paul Avillach | Rebecca Boyles | Kira Bradford | Steven Cox | Brandi Davis-Dusenbery | Robert L Grossman | Ashok Krishnamurthy | Alisa Manning | Benedict Paten | Anthony Philippakis | Ingrid Borecki | Shu Hui Chen | Jon Kaltman | Sweta Ladwa | Chip Schwartz | Alastair Thomson | Sarah Davis | Alison Leaf | Jessica Lyons | Elizabeth Sheets | Joshua C Bis | Matthew Conomos | Alessandro Culotti | Thomas Desain | Jack Digiovanna | Milan Domazet | Stephanie Gogarten | Alba Gutierrez-Sacristan | Tim Harris | Ben Heavner | Deepti Jain | Brian O'Connor | Kevin Osborn | Danielle Pillion | Jacob Pleiness | Ken Rice | Garrett Rupp | Arnaud Serret-Larmande | Albert Smith | Jason P Stedman | Adrienne Stilp | Teresa Barsanti | John Cheadle | Christopher Erdmann | Brandy Farlow | Allie Gartland-Gray | Julie Hayes | Hannah Hiles | Paul Kerr | Chris Lenhardt | Tom Madden | Joanna O Mieczkowska | Amanda Miller | Patrick Patton | Marcie Rathbun | Stephanie Suber | Joe Asare
Journal of the American Medical Informatics Association : JAMIA | 2023

Research increasingly relies on interrogating large-scale data resources. The NIH National Heart, Lung, and Blood Institute developed the NHLBI BioData CatalystⓇ (BDC), a community-driven ecosystem where researchers, including bench and clinical scientists, statisticians, and algorithm developers, find, access, share, store, and compute on large-scale datasets. This ecosystem provides secure, cloud-based workspaces, user authentication and authorization, search, tools and workflows, applications, and new innovative features to address community needs, including exploratory data analysis, genomic and imaging tools, tools for reproducibility, and improved interoperability with other NIH data science platforms. BDC offers straightforward access to large-scale datasets and computational resources that support precision medicine for heart, lung, blood, and sleep conditions, leveraging separately developed and managed platforms to maximize flexibility based on researcher needs, expertise, and backgrounds. Through the NHLBI BioData Catalyst Fellows Program, BDC facilitates scientific discoveries and technological advances. BDC also facilitated accelerated research on the coronavirus disease-2019 (COVID-19) pandemic.

Pubmed ID: 37192819 RIS Download

Research resources used in this publication

None found

Additional research tools detected in this publication

Antibodies used in this publication

None found

Associated grants

  • Agency: NHLBI NIH HHS, United States
    Id: OT3 HL142478
  • Agency: NHLBI NIH HHS, United States
    Id: R01 HL120393
  • Agency: NHLBI NIH HHS, United States
    Id: U01 HL120393
  • Agency: NHLBI NIH HHS, United States
    Id: OT3 HL142481
  • Agency: NHLBI NIH HHS, United States
    Id: OT3 HL147154
  • Agency: NHLBI NIH HHS, United States
    Id: HHSN268201800001C
  • Agency: NHLBI NIH HHS, United States
    Id: OT3 HL142480
  • Agency: NHLBI NIH HHS, United States
    Id: OT3 HL142479
  • Agency: NHLBI NIH HHS, United States
    Id: HHSN268201000001I

Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.

This is a list of tools and resources that we have found mentioned in this publication.


Galaxy (tool)

RRID:SCR_006281

Open, web-based platform providing bioinformatics tools and services for data intensive genomic research. Platform may be used as a service or installed locally to perform, reproduce, and share complete analyses. Galaxy automatically tracks and manages data provenance and provides support for capturing the context and intent of computational methods. Galaxy Community has created Galaxy instances in many different forms and for many different applications including Galaxy servers, cloud services that support Galaxy instances, and virtual machines and containers that can be easily deployed for your own server.The Galaxy team is a part of BX at Penn State, and the Biology and Mathematics and Computer Science departments at Emory University.Training Infrastructure as a Service (TIaaS) is a service offered by some UseGalaxy servers to specifically support training use cases.

View all literature mentions