Microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.
Microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.
Microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.
Microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.
Microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.
Microarrays enable researchers to monitor the expression of thousands of genes simultaneously. However, the sensitivity, accuracy, specificity, and reproducibility are major challenges for this technology. Cross-hybridization, combination with splice variants, is a prime source for the discrepancies in differential gene expression calls among various microarray platforms. Removing (either from production or downstream bioinformatic analysis) and/or redesigning the microarray probes prone to cross-hybridization is a reasonable strategy to increase the hybridization specificity and hence, the accuracy of the microarray measurements.
Though DNA quantification is but one small step in the multifaceted DNA sample preparation workflow, it can have large implications on the performance and validity of conclusions drawn from downstream assays. Major challenges include accuracy, precision, reproducibility, and detection of present contamination. Among UV spectrophotometry, fluorescence and real-time PCR based methods, the quantification method should be chosen based on the requirement of the downstream assay.
Though DNA quantification is but one small step in the multifaceted DNA sample preparation workflow, it can have large implications on the performance and validity of conclusions drawn from downstream assays. Major challenges include accuracy, precision, reproducibility, and detection of present contamination. Among UV spectrophotometry, fluorescence and real-time PCR based methods, the quantification method should be chosen based on the requirement of the downstream assay .
Though DNA quantification is but one small step in the multifaceted DNA sample preparation workflow, it can have large implications on the performance and validity of conclusions drawn from downstream assays. Major challenges include accuracy, precision, reproducibility, and detection of present contamination. Among UV spectrophotometry, fluorescence and real-time PCR based methods, the quantification method should be chosen based on the requirement of the downstream assay .
Though DNA quantification is but one small step in the multifaceted DNA sample preparation workflow, it can have large implications on the performance and validity of conclusions drawn from downstream assays. Major challenges include accuracy, precision, reproducibility, and detection of present contamination. Among UV spectrophotometry, fluorescence and real-time PCR based methods, the quantification method should be chosen based on the requirement of the downstream assay.
Fill out your contact details and receive price quotes in your Inbox
Outsource experiment