Search results for "molecular microbiology"

ChroZen ASTM D1945 Player with column switching valve system effectively analyzes natural gases by controlling the valve switching time with accuracy and precision and verifies its reliability by effectively determining each component of natural gases according to ASTM D1945.

Comprehensive Quantitation & Confident Structural ID

Corning Dispase, 100 mL, is a bacillus-derived neutral metalloprotease recommended for recovering cells cultured on Corning Matrigel Basement Membrane Matrix.Molecular Weight36kDSourceBacillus polymyxa-derived metallo proteaseQuality Tested for ability to solubilize a 1mm thick layer of gelled Corning Matrigel Matrix after two hours at 37°C Tested and found negative for bacteria, fungi, and mycoplasmaPreparation and StorageS…

For purification of DNA from tissues fixed and stabilized in PAXgene Tissue Containers

For purification of miRNA and total RNA from whole blood

Work with your valuable samples without the fear of cross-contamination, with the new GuardOne® Workstation

Rapid, simple, high-throughput (96-well) method for DNA isolation from tough-to-lyse plant and seed samples.

For purification of microRNA and total RNA from tissues fixed and stabilized in PAXgene Tissue Containers

Quantify and characterize any protein interaction

The CryoGrinder™ System is your total solution for homogenizing, chilling and transporting small samples in-house.

Explore LGC Biosearch Technologies’ range of bestselling CPG supports for diagnostic and analytical applications and key purchasing considerations

New findings presented at the 2022 AACC Annual Scientific Meeting

Discover the latest tools and techniques to expand your research capacity with expert-led presentations on chromatography, drug discovery, biosafety, and more

Program participants will receive early access to the upcoming release of kits designed to print longer oligos and enable labeling with fluorophores, quenchers, and biotin

The artus® SARS-CoV-2 Prep&Amp UM cuts PCR processing times by two thirds

The study demonstrates the accuracy and predictive capability of proprietary deep learning for developing flavours and fragrances, and in drug discovery