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amplican:Automated analysis of CRISPR experiments
`amplican` performs alignment of the amplicon reads, normalizes gathered data, calculates multiple statistics (e.g. cut rates, frameshifts) and presents results in form of aggregated reports. Data and statistics can be broken down by experiments, barcodes, user defined groups, guides and amplicons allowing for quick identification of potential problems.
Maintained by Eivind Valen. Last updated 5 months ago.
immunooncologytechnologyalignmentqpcrcrisprcpp
10 stars 7.54 score 41 scriptslifebrain
metagam:Meta-Analysis of Generalized Additive Models
Meta-analysis of generalized additive models and generalized additive mixed models. A typical use case is when data cannot be shared across locations, and an overall meta-analytic fit is sought. 'metagam' provides functionality for removing individual participant data from models computed using the 'mgcv' and 'gamm4' packages such that the model objects can be shared without exposing individual data. Furthermore, methods for meta-analysing these fits are provided. The implemented methods are described in Sorensen et al. (2020), <doi:10.1016/j.neuroimage.2020.117416>, extending previous works by Schwartz and Zanobetti (2000) and Crippa et al. (2018) <doi:10.6000/1929-6029.2018.07.02.1>.
Maintained by Oystein Sorensen. Last updated 9 months ago.
11 stars 5.85 score 13 scripts