4.6 out of 5 stars
(153 Ratings)
Built for testing laboratories, QBench is a cloud LIMS that brings samples, workflows, lab data, inventory, reporting, quality processes, and client interactions into a single system.
From order placement through sample processing, results, and automated reporting, QBench supports every stage of lab operations. Lab teams configure their own workflows, data fields, and automation rules, so the software fits existing processes instead of forcing new ones. When requirements shift, labs can adjust fields, processes, and automations without depending heavily on custom code.
Instruments, software, and outside systems connect to QBench through file parsers and a robust API, which moves data automatically and limits repetitive entry and transcription mistakes. For reporting beyond the LIMS, labs can connect QBench to Tableau, Power BI, Domo, or Looker via REST API.
What labs get with QBench:
Sample and workflow management
Configurable workflows and custom data fields
Workflow automation
Instrument and system integrations
File parsing and API connectivity
Inventory management
A client portal
Automated reporting
Analytics and operational insights
Connections to Tableau, Power BI, Domo, and Looker
A built-in Quality Management System (QMS)
Because it runs in the cloud, lab teams get secure access to their data, workflows, quality management, and reporting in one centralized platform. Implementation and ongoing guidance come from a team that includes former bench scientists who understand laboratory workflows.
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4.8 out of 5 stars
(72 Ratings)
A cloud LIMS that tracks samples, tests results, and manages inventory for life science research, industrial QC labs, and biotech/NGS. Includes regulatory support for CLIA and HIPAA, Part 11 and ISO 17025. The quality, security, traceability, and traceability for samples is crucial to a lab's success. Laboratory professionals can use the Lockbox LIMS system to manage their samples. They have full visibility of every step of the sample's journey from accession to long-term storage. LIMS analysis is more than just tracking results. Lockbox's multilayered sample storage and location management functionality lets you define your lab's storage structure using a variety location options: rooms and storage units, shelves and racks, boxes and boxes.
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BigOmics Analytics
BigOmics Analytics is an innovative startup focused on biodata analytics, creating platforms that empower biologists to effectively visualize and interpret their omics data. Our primary offering, Omics Playground, is a highly intuitive bioinformatics tool tailored for RNA-seq and proteomics, enabling users to store their experimental data and visualize it interactively. With more than 18 interactive analysis modules and over 150 dynamic plots, the platform supports co-analysis with a vast array of more than 6,000 public datasets, in addition to providing access to more than 50,000 public gene sets and pathways. Furthermore, it seamlessly incorporates drug connectivity and drug sensitivity databases, featuring an extensive collection of over 30,000 drug expression profiles. BigOmics Analytics is designed to promote collaboration between biologists and bioinformaticians, allowing users to uncover insights while minimizing the time spent on data analysis, all without the need for any programming knowledge. The platform's commitment to producing reliable and reproducible results is achieved through the implementation of state-of-the-art methodologies. Ultimately, BigOmics Analytics is revolutionizing the way biological data is analyzed and understood.
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VSClinical
VSClinical facilitates the clinical analysis of genetic variants in accordance with ACMG and AMP guidelines. Its structured workflow supports adherence to the American College of Medical Genetics (ACMG) standards, which are essential for identifying and categorizing pathogenic variants related to inherited disease risk, cancer susceptibility, and rare disease diagnosis. The combined ACMG/AMP guidelines for variant interpretation establish a framework for scoring variants and categorizing them into one of five classification levels. Implementing these guidelines necessitates a thorough examination of annotations, genomic contexts, and pre-existing clinical insights for each variant. VSClinical streamlines this process by offering a customized workflow that evaluates each relevant criterion and supplies comprehensive bioinformatics, literature references, and clinical knowledgebase evidence to aid in the scoring and interpretation of variants. This innovative approach is designed to enhance the efficiency of variant scientists as they navigate the complexities of variant processing and analysis. Overall, VSClinical stands out as a vital tool for accelerating the understanding and classification of genetic variants in clinical settings.
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