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What is SeeHash Laboratory ERP?

Laboratory ERP systems offer a robust solution for effectively managing samples and their associated data. By adopting an ERP framework, laboratories can automate numerous processes, integrate diverse instruments, and manage samples along with their relevant details seamlessly. Additionally, these systems expedite the production of reliable results and make it possible to track data from sequencing activities across various experiments over time, which significantly boosts overall productivity. This holistic strategy not only optimizes operational workflows but also fosters ongoing enhancements in laboratory efficiency and the precision of data collected. Furthermore, with improved data management, labs can make informed decisions that lead to better research outcomes and innovation.

What is Ganymede?

Currently, critical information such as instrument settings, the latest service date, the identity of the analyst, and the experiment's duration remain unrecorded. This oversight leads to a loss of raw data, rendering it nearly impossible to modify or replicate analyses without considerable effort, while also complicating meta-analyses due to a lack of traceability. Consequently, the task of manually inputting primary analysis outcomes can become a significant burden that detracts from researchers' productivity. To address these challenges, we propose storing raw data in the cloud and automating analytical workflows to ensure continuous traceability. This approach allows for seamless integration of data into various platforms, including ELNs, LIMS, Excel, analytical applications, and pipelines. Furthermore, we are in the process of creating a data lake that consolidates all related information. This means that every piece of raw data, processed results, metadata, and even internal data from linked applications is securely stored in a unified cloud data lake for future access. With this system, analyses can be conducted automatically, and metadata can be added without any manual intervention. Additionally, results can be effortlessly sent to any application or pipeline, and can even be relayed back to the instruments for improved control, effectively streamlining the entire research workflow. This cutting-edge strategy not only enhances operational efficiency but also substantially elevates data management practices, ensuring that scientists can focus more on innovation rather than administrative tasks.

Media

No images available

Media

Integrations Supported

Integrations Supported

Microsoft Excel

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Online Training

Company Facts

Organization Name

SeeHash

Company Location

India

Company Website

www.seehash.com

Company Facts

Organization Name

Ganymede

Company Location

United States

Company Website

www.ganymede.bio/

Categories and Features

Lab Automation

Not specified

LIMS

Not specified

Medical Lab

Lab Instrument Interface
Sample Tracking

Categories and Features

Lab Automation

Not specified

Medical Lab

Not specified

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