Sentence examples for mouse contamination using from inspiring English sources

We validated the estimated mouse contamination using qPCR.

Thus these two alternate approaches ascertain the estimation of mouse contamination using our model within an acceptable margin of error.

One approach to removing mouse contamination used by tools like Xenome (Conway et al., 2012) is to try and directly identify non-human sequencing reads and remove them upstream of any data processing.

RNA was extracted from adult mouse liver (aged 3 month) using the RNeasy Plus Mini Kit (Qiagen), checked for DNA contamination using gel electrophoresis, and then cDNA was generated using the Promega reverse transcription kit.

Before use, cells tested negative for mycoplasma contamination using MycoSEQ Mycoplasma Detection Kit Life Technologiess).

Cell cultures were routinely checked for mycoplasma contamination using PCR Merck Milliporee).

Solutions were investigated for bacterial contamination using standard microbiological methods.

This number is close to the number of reads aligned to the mouse reference by the combined reference strategy (about 676 million), and thus can be used to estimate the amount of mouse contamination in the data.

In addition to modeling for basic coverage and MAF, we also model for aneuploidy, normal/diploid contamination of primary tumor samples, mouse contamination of human tumors grown in xenograft and we perform auto-correction of systematic sequencing biases using matched normal/control samples.

The values from TaqMan® qPCR analysis were used to calculate the relative absolute quantity between human and mouse probes, which demonstrated a 27% mouse contamination in the pancreatic xenograft compared with the tumor cell line derived from the same tumor.

We estimated the mouse contamination level in C15 to be 29.6%, based on the number of human and mouse leptin present as determined by real time PCR using a standard curve.