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Bioflux webinar: genetic control of antifungal resistance in Candida albicans
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Candida albicans is the most common fungal species of humans, residing on the skin, in the gut, and in the oral cavity...
Internal radiation dosimetry of a 152Tb-labeled antibody in tumor-bearing mice
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MicroPET-based dosimetry of 152Tb is feasible, and the comparison with organ harvesting resulted in acceptable dose...
Travel grant ALERT! Submit ESHG abstracts today
Feb 13, 2020
Interested in sharing your Bionano Genomics data at ESHG 2020 in Berlin? Eager to share how you have utilized the...
Feb 11, 2020
AutoLV analysis software is the latest addition to VisualSonics robust suite of measurement tools customized for...
CellPathfinder Software, High Content Analysis and powerful Deep Learning features
Feb 7, 2020
The intuitive CellPathfinder Software guides the user throughout the process. It analyzes and digitizes complex...
COY - personalized hypoxic and anaerobic chambers since 1969
Jan 31, 2020
When your research requires consistent atmospheric control to maintain anoxia, hypoxia, normoxia, or hyperoxia, you can...
Metabolic MR Imaging of Obesity
Jan 29, 2020
Obesity is now known to be much more than a cosmetic problem with its association with a wide plethora of diseases...
Micro-CT in 3D data integration and (Clinical) workflows for digital orthodontics
Jan 29, 2020
Petra Julia Koch and Paul Zaslansky (Charité - Universitätsmedizin Berlin) will discuss the importance of 3D data in...
Feb 21, 2017
Scientists performed an unbiased analysis of functional diversity in colorectal cancer cells and their microenvironment using RNA-seq profiling of over 1,500 unsorted single cells from 11 primary tumors and matched normal mucosa (NM). To robustly interpret single-cell transcriptomes, we developed novel algorithms for normalizing expression estimates (pQ), clustering cells (RCA) and identifying differentially expressed genes (NODES). RCA identified 6 major cell types and multiple subtypes within colorectal samples.
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