| Title | Using LICHeE and BAMSE for Reconstructing Cancer Phylogenetic Trees. |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Ricketts C, Popic V, Toosi H, Hajirasouliha I |
| Journal | Curr Protoc Bioinformatics |
| Volume | 62 |
| Issue | 1 |
| Pagination | e49 |
| Date Published | 2018 Jun |
| ISSN | 1934-340X |
| Keywords | Algorithms, Computational Biology, Humans, Neoplasms, Phylogeny |
| Abstract | The reconstruction of cancer phylogeny trees and quantifying the evolution of the disease is a challenging task. LICHeE and BAMSE are two computational tools designed and implemented recently for this purpose. They both utilize estimated variant allele fraction of somatic mutations across multiple samples to infer the most likely cancer phylogenies. This unit provides extensive guidelines for installing and running both LICHeE and BAMSE. © 2018 by John Wiley & Sons, Inc. |
| DOI | 10.1002/cpbi.49 |
| Alternate Journal | Curr Protoc Bioinformatics |
| PubMed ID | 29927069 |
| PubMed Central ID | PMC6020047 |
| Grant List | T32 GM083937 / GM / NIGMS NIH HHS / United States |