Transcription of Optimizing Cluster Density on Illumina Sequencing Systems
{{id}} {{{paragraph}}}
Example: bankruptcy
Optimizing Cluster Density on Illumina Sequencing Systems
Optimizing Cluster Density on Illumina Sequencing SystemsUnderstanding Cluster Density limitations and strategies for preventing under- and of ContentsI. Introduction 3II. Understanding Optimal Cluster Density 3a. How Does Overclustering Affect Sequencing Data? 3 III. How to Diagnose Overclustering with Sequencing Analysis Viewer 3a. The Analysis Tab 3b. The Imaging Tab 5c. The Summary Tab 7IV. Common Causes of Under- and Overclustering and Strategies for Prevention 7a. Library Quality 7b. Library Quantification 8c. Flow Cell Loading 8d. Library Nucleotide Diversity 8V. Summary 10VI. Glossary 10 VII. References 10 3 I.
2500 in high output mode (Figure 4C), and the MiSeq® (Figure 4D) are shown. The blue or black tiles represent tiles that have intensities = 0 due to high cluster density. This is an indication that the flow cell is severely impacted. Figure 4: Flow Cell Charts.
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: