- Establish the high-confidence somatic mutation call set that may be used as the "ground truth" for benchmarking analyses or machine learning modelings: Fang L.T. et al. Nat Biotechnol (2021) / PMID:34504347 / SharedIt Link.
- Use the high-confidence somatic mutation call set as the "ground truth" to investigate how different sample preparations, sequencing library kits, and bioinformatic algorithms affect the accuracy of the somatic mutation pipelines, and develop best practices: Xiao W. et al. Nat Biotechnol (2021) / PMID:34504346 / SharedIt Link.
- Use the high-confidence somatic mutation call set as the labeled training data to build more accurate machine learning models for somatic mutation detections: Sahraeian S.M.E. et al. bioRxiv (2019).
Find all of SEQC2's publications:
- SEQC2 Collection on Nature Biotechnology
- SEQC2 Collection on Genome Biology