chipPCR
Toolkit of Helper Functions to Pre-Process Amplification Data
A collection of functions to pre-process amplification curve data from polymerase chain reaction (PCR) or isothermal amplification reactions. Contains functions to normalize and baseline amplification curves, to detect both the start and end of an amplification reaction, several smoothers (e.g., LOWESS, moving average, cubic splines, Savitzky-Golay), a function to detect false positive amplification reactions and a function to determine the amplification efficiency. Quantification point (Cq) methods include the first (FDM) and second approximate derivative maximum (SDM) methods (calculated by a 5-point-stencil) and the cycle threshold method. Data sets of experimental nucleic acid amplification systems ('VideoScan HCU', capillary convective PCR (ccPCR)) and commercial systems are included. Amplification curves were generated by helicase dependent amplification (HDA), ccPCR or PCR. As detection system intercalating dyes (EvaGreen, SYBR Green) and hydrolysis probes (TaqMan) were used. For more information see: Roediger et al. (2015) doi:10.1093/bioinformatics/btv205.
- Version1.0-2
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Languageen-US
- chipPCR citation info
- Last release03/05/2021
Documentation
Team
Stefan Roediger
Michal Burdukiewicz
Konstantin A. Blagodatskikh
Show author detailsRolesContributorAndrej-Nikolai Spiess
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 760 times in the last 30 days. Not bad! The download count is somewhere between 'small-town buzz' and 'moderate academic conference'. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 72 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 11,876 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Jul 21, 2024 with 151 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports9 packages
- Suggests10 packages
- Reverse Imports1 package
- Reverse Suggests2 packages