Repair-CRM
Say goodbye to expensive, inflexible software solutions and hello to Repair-CRM—an affordable, tailored system designed specifically for small repair businesses. At just $89/month for up to 5 users, with no annual contracts or hidden fees, Repair-CRM offers a hassle-free way to streamline your operations. Seamlessly integrate with QuickBooks Online, and import your client and product data in just 5 minutes. Dispatch jobs quickly and efficiently, while keeping track of every asset—whether it’s HVAC units, printers, or water systems—with complete service history at your fingertips. The intuitive online booking portal integrates smoothly with your website, enabling clients to choose the exact asset they need repaired, making scheduling easier than ever. Technicians benefit from GPS tracking, clock-in/out features, and the ability to capture before-and-after photos on-site, providing real-time updates. Repair-CRM is the perfect balance of affordability, adaptability, and convenience, empowering your repair business to run smoothly without breaking the bank. It’s built for you—helping your business grow, while keeping costs low.
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MaintainX
MaintainX is a mobile-first work order and procedure platform that allows teams to know what they need to do and how to do it.
Here's what we digitize and take away from the clipboard:
-Maintenance Work Orders
-Safety Procedures
-Environmental Checklists
-Tooling & Gauge Reporting
-Preventative Maintenance Procedures
-Auditing/Inspection Workflows
-Training Checklists
We help operational leaders become more efficient by delivering real-time business insights from the field.
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CZ CELLxGENE Discover
Choose two tailored cell groups by utilizing metadata to uncover their most significantly differentially expressed genes. Utilize the extensive collection of millions of cells from the integrated CZ CELLxGENE corpus for in-depth analysis. Conduct interactive examinations of datasets to investigate how gene expression patterns are influenced by spatial, environmental, and genetic variables through an intuitive no-code user interface. Gain insights into existing datasets or leverage them as a foundation to discover new cell subtypes and states. Census offers the capability to access any customized segment of standardized cell data available within CZ CELLxGENE, with opportunities for exploration in both R and Python. Delve into an interactive encyclopedia containing over 700 cell types that includes comprehensive definitions, marker genes, lineage information, and associated datasets all in one location. Additionally, you can browse and obtain hundreds of standardized data collections along with more than 1,000 datasets that detail the functionality of both healthy mouse and human tissues, enriching your research and understanding of cellular biology. This resource provides a valuable tool for researchers aiming to enhance their exploration of cellular dynamics and gene expression.
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Galaxy
Galaxy serves as an open-source, web-based platform specifically designed for handling data-intensive research in the biomedical field. For newcomers to Galaxy, it is advisable to begin with the introductory materials or explore the available help resources. You can also opt to set up your own instance of Galaxy by following the detailed tutorial and selecting from a vast array of tools available in the tool shed. The current Galaxy instance operates on infrastructure generously supplied by the Texas Advanced Computing Center. Furthermore, additional resources are mainly accessible through the Jetstream2 cloud, facilitated by ACCESS and supported by the National Science Foundation. Users can quantify, visualize, and summarize mismatches present in deep sequencing datasets, as well as construct maximum-likelihood phylogenetic trees. This platform also supports phylogenomic and evolutionary tree construction using multiple sequences, the merging of matching reads into clusters with the TN-93 method, and the removal of sequences from a reference that are within a specified distance of a cluster. Lastly, researchers can perform maximum-likelihood estimations to ascertain gene essentiality scores, making Galaxy a powerful tool for various applications in genomic research.
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