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Sherlock

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Project title: 
Sherlock: Automated process pipeline for statistical evaluation of patristic tree-distance variation
ZFMK Project lead: 

Description

Sherlock is an automated process pipeline for statistical evaluation of patristic tree-distance variation given partitioned or non-partitioned molecular sequence data. Patristic distances are a measure for phylogenetic diversity in data sets, but the patristic distance measures do not reveal the impact of statistical or other biases within molecular data; i.e. if the patristic distances inferred from sequences in a data set are randomly distributed and thus biased. Therefore, Sherlock randomly samples sequences as random data sets to compare the original patristic distances to a random distribution of comparable data sets.

Software available at https://github.com/NathanSeidel/Sherlock

Location

Contact person

+49 228 9122-404
+49 228 9122-212
nseidel [at] uni-bonn.de