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SCITE specifications


Unique identifier OMICS_12093
Alternative name B-SCITE
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux, Mac OS
Programming languages C, C++
License GNU General Public License version 3.0
Computer skills Advanced
Stability Stable
Maintained Yes


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  • person_outline Kathari Jahn <>

Publications for SCITE

SCITE in publications

PMCID: 5800913
PMID: 29484121
DOI: 10.18632/oncotarget.23716

[…] of the 16 mouse lusc tumors. single-cell gene mutations were analyzed using the rnaseqmut program ( based on scrna-seq data. the software scite [] was used to analyze the orders of the sequential mutational events in the two lusc tumors subjected to scrna-seq. pathway enrichment analysis of the g80 module cancer genes was performed […]

PMCID: 5805817
PMID: 29139001
DOI: 10.1007/s40273-017-0579-0

[…] across countries [–]., conitec procedures are established in law, and there are internal regulations []. the department of management and incorporation of health technologies of the sctie (dgits/scite) forms the executive secretariat of conitec, and is responsible for the management and coordination of its activities, including formulating investment and disinvestment requests. […]

PMCID: 5599901
PMID: 28924377
DOI: 10.7150/ijbs.19627

[…] population structure by inputting a cell-target matrix, which simultaneously addresses the technical noise in single cell data by taking doublets into account and predicting genotypes accordingly . scite is a tool for the identification of the evolutionary history of a tumor by analyzing single cells, which is able to calculate the maximum-likelihood mutation history by using a flexible markov […]

PMCID: 5469877
PMID: 28659971
DOI: 10.3389/fgene.2017.00083

[…] pairwise test to define the order for pairs of mutations. while the restriction to pairs of genes makes the method efficient, it discards the information among high order relations among mutations. scite (jahn et al., ) identifies evolutionary trees from noisy and incomplete mutation data from single-cell sequencing. scite uses a statistical model and an mcmc approach to sample trees, error […]

PMCID: 5813714
PMID: 28193548
DOI: 10.1016/j.bbcan.2017.02.001

[…] , although the exact details of the models and their inference vary, as we summarise in and now explore in some detail.table 4ascite  provides the option of using the sample tree representation., scite  provides the option of using the sample tree representation., despite the elevated error rates, an advantage of single-cell data is that, assuming diploid cells and the infinite sites […]

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SCITE institution(s)
School of Computing Science, Simon Fraser University, Burnaby, BC, Canada; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland; SIB Swiss Institute of Bioinformatics, Basel, Switzerland; Department of Computer Science, Indiana University, Bloomington, IN, USA

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