SCHIP: Statistics for chromosome interphase positioning based on interchange data

Sergi Vives, Bradford Loucas, Mariel Vazquez, David J. Brenner, Rainer K. Sachs, Lynn Hlatky, Michael Cornforth, Javier Arsuaga

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Motivation: The position of chromosomes in the interphase nucleus is believed to be associated with a number of biological processes. Here, we present a web-based application that helps analyze the relative position of chromosomes during interphase in human cells, based on observed radiogenic chromosome aberrations. The inputs of the program are a table of yields of pairwise chromosome interchanges and a proposed chromosome geometric cluster. Each can either be uploaded or selected from provided datasets. The main outputs are P-values for the proposed chromosome clusters. SCHIP is designed to be used by a number of scientific communities interested in nuclear architecture, including cancer and cell biologists, radiation biologists and mathematical/computational biologists.

Original languageEnglish (US)
Pages (from-to)3181-3182
Number of pages2
Issue number14
StatePublished - Jul 15 2005

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics


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