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Recommendations are given on optimal read coverage and selection of calling algorithm to maximize the reproducibility of cancer mutation detection in whole-genome or whole-exome sequencing.
Biotechnology-related papers predicted to be of long-term impact are identified in a machine learning framework (DELPHI) that analyzes relationships among a range of features from the scientific literature over time.