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Adm 2 algorithm

Manufactured by Agilent Technologies
Sourced in United States

The ADM-2 algorithm is a core function of Agilent Technologies' lab equipment. It is a signal processing algorithm designed to analyze and interpret data collected from various analytical instruments. The ADM-2 algorithm is used to process and extract meaningful information from complex data sets, enabling researchers and scientists to make informed decisions during their experiments and analyses.

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2 protocols using adm 2 algorithm

1

Array-CGH Analysis of 1p/19q Status

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In a subset of cases (two GBM and two ODGs), 1p/19q status was also confirmed by array-CGH. Array-CGH analysis was performed using 180 mer oligonucleotide probe technology (SurePrint G3 Human CGH 4 × 180K, Agilent Technologies, Santa Clara, CA, USA), according to the manufacturer's instructions. Raw data were generated using Agilent Feature Extraction and analyzed using Cytogenomics 3.0.4.1, with the ADM-2 algorithm (Agilent Technologies, Santa Clara, CA, USA). To improve the accuracy of the results, the Diploid Peak Centralization algorithm was also applied.
The aberration filter was set to detect a minimum of five consecutive probes/region, and the minimum absolute average log ratio (MAALR) was ± 0.25. A second analysis was run with a MAALR of ± 0.15 (again with a minimum number of five probes/region), to detect low level of mosaicism. Only copy number variants not already reported in the public database of genomic variants (http://projects.tcag.ca/variation/) were listed. Genomic coordinates are according to the build 37 assembly (March 2009) of the Human Genome Reference consortium (GRch37/hg19).
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2

Genomic Profiling of T-ALL Subtypes

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A total of 160 T-ALL cases from adult and pediatric patients referred to St-Louis hospital, Paris, France were analyzed for copy-number abnormalities using array-comparative genomic hybridization with informed consent under the supervision of the Institutional Review Board of the Institut Universitaire d’Hématologie, Université Paris-Diderot. Sureprint G3 human CGH 180K, 244K, 400K or 1M arrays (Agilent technologies) were used and copy number alterations were identified using the Genomic Workbench software and the ADM-2 algorithm (Agilent Technologies) as previously described44 (link).
T-ALL Oncogenic subtype was determined based on gene expression profiling as previously reported45 (link), expression of T-ALL oncogene transcripts and presence of specific chromosomal translocations. NOTCH1 and FBXW7 mutations were analyzed as previously described46 (link).
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