rec-BTP statistics

To access cutting-edge analytics on consensus tools, life science contexts and associated fields, you will need to subscribe to our premium service.

Subscribe
info

Citations per year

Citations chart
info

Popular tool citations

chevron_left Tumor purity and heterogeneity estimation chevron_right
Popular tools chart
info

Tool usage distribution map

Tool usage distribution map
info

Associated diseases

Associated diseases

rec-BTP specifications

Information


Unique identifier OMICS_06141
Name rec-BTP
Alternative name Binary Tree Partition
Software type Application/Script
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages MATLAB, Python
Computer skills Advanced
Version 1.0
Stability Stable
Maintained Yes

Download


Versioning


Add your version

Maintainer


  • person_outline Benjamin J. Raphael <>

Publication for Binary Tree Partition

rec-BTP in publications

 (3)
PMCID: 5723949
PMID: 29279850
DOI: 10.1155/2017/5482750

[…] subclones by analyzing the variant allele frequencies. hajirasouliha et al. [] formulate the problem of constructing the subpopulations of tumor cells from the variant allele frequencies (vafs) as binary tree partition and present an approximation algorithm to solve the max-btp problem. el-kebir et al. [] formulate the problem of reconstructing the clonal evolution of a tumor using snv […]

PMCID: 4597064
PMID: 26424171
DOI: 10.1186/1471-2105-16-S13-S7

[…] structure using a binomial expectation maximization based approach (via somatic variant allele frequencies), and was specifically designed to deal with multiple samples from a single tumor sample. rec-btp [] casts the problem of uncovering the clonal structure of a single sample, using the variant allele frequencies of somatic mutations, as a combinatorial one. a recursive algorithm using […]

PMCID: 4709972
PMID: 25316263
DOI: 10.1186/s13059-014-0450-y

[…] with a rooted binary tree in which the nodes correspond to different populations of tumor cells with a distinctive mutation profile. the edges also represent their ancestral relationships. their binary tree partition algorithm reduces the intrinsic computational challenge. quaid morris (university of toronto, canada) presented phylosub for modeling the clonal evolutionary pattern of tumors. […]


To access a full list of publications, you will need to upgrade to our premium service.

rec-BTP institution(s)
Department of Computer Science, Brown University, Providence, RI, USA; Center for Computational Molecular Biology, Brown University, Providence, RI, USA
rec-BTP funding source(s)
Supported by National Science Foundation CAREER Award (CCF-1053753), the National Institutes of Health (R01HG5690), the Burroughs Wellcome Fund, an Alfred P. Sloan Research Fellowship, and a Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship.

rec-BTP reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review rec-BTP