{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T15:35:47Z","timestamp":1770824147379,"version":"3.50.1"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"1","content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Bioinformatics"],"abstract":"<jats:title>Abstract<\/jats:title><jats:sec>\n                <jats:title>Background<\/jats:title>\n                <jats:p><jats:italic>CGH-Profiler<\/jats:italic> is a program that supports the analysis of genomic aberrations measured by Comparative Genomic Hybridisation (CGH). Comparative genomic hybridisation (CGH) is a well-established, molecular cytogenetic method that allows the detection of chromosomal imbalances in entire genomes. This technique is widely used in routine molecular diagnostics. Typically, chromosomal imbalances are described in a complex syntax based on the International Standard for Cytogenetic Nomenclature (ISCN). This semantic description of chromosomal imbalances hinders a large-scale statistical analysis across different experiments, e.g. for finding aberration patterns associated with a particular disease type or state.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Results<\/jats:title>\n                <jats:p><jats:italic>CGH-Profiler<\/jats:italic> circumvents the semantic ISCN description by importing data from different CGH system vendors and by directly transferring the data into a table format that is readily accessible for subsequent statistical analysis. <jats:italic>CGH-profiler<\/jats:italic> comes with different consistency checks, calculates various statistics and automatically assigns a median copy number ratio to each chromosomal band.<\/jats:p>\n                <jats:p>Import of CGH profiles from different CGH system vendors is already supported; its extension to other systems can be readily achieved through Perl scripts.<\/jats:p>\n                <jats:p>CGH profiler can also be used to analyse comparative expressed sequence hybridisation (CESH) data. CESH reveals gene expression patterns according to chromosomal locations in a similar manner as CGH detects chromosomal imbalances.<\/jats:p>\n              <\/jats:sec><jats:sec>\n                <jats:title>Conclusion<\/jats:title>\n                <jats:p><jats:italic>CGH-Profiler<\/jats:italic> is a useful tool for processing of CGH and CESH data.<\/jats:p>\n              <\/jats:sec>","DOI":"10.1186\/1471-2105-6-188","type":"journal-article","created":{"date-parts":[[2005,7,26]],"date-time":"2005-07-26T20:55:33Z","timestamp":1122411333000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["CGH-Profiler: Data mining based on genomic aberration profiles"],"prefix":"10.1186","volume":"6","author":[{"given":"Falk","family":"Schubert","sequence":"first","affiliation":[]},{"given":"Bernhard","family":"Tausch","sequence":"additional","affiliation":[]},{"given":"Stefan","family":"Joos","sequence":"additional","affiliation":[]},{"given":"Roland","family":"Eils","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,7,25]]},"reference":[{"key":"513_CR1","doi-asserted-by":"publisher","first-page":"818","DOI":"10.1126\/science.1359641","volume":"258","author":"A Kallioniemi","year":"1992","unstructured":"Kallioniemi A, Kallioniemi OP, Sudar D, Rutovitz D, Gray JW, Waldman F, Pinkel D: Comparative genomic hybridization for molecular cytogenetic analysis of solid tumors. 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