Array comparative genomic hybridization (aCGH) is a technique enabling high-resolution, genome-wide screening of segmental genomic copy number variations (CNVs). It is becoming an essential and a routine clinical diagnostic tool and is gradually replacing cytogenetic methods. Most of the clinically available aCGH platforms are designed to detect aneuploidies, well-characterized microdeletion/mi...

MOTIVATION Analysis of array comparative genomic hybridization (aCGH) data for recurrent DNA copy number alterations from a cohort of patients can yield distinct sets of molecular signatures or profiles. This can be due to the presence of heterogeneous cancer subtypes within a supposedly homogeneous population. RESULTS We propose a novel statistical method for automatically detecting such sub...

Array comparative genomic hybridization (aCGH) is a laboratory technique to measure chromosomal copy number changes. A clear biological interpretation of the measurements is obtained by mapping these onto an ordinal scale with categories loss/normal/gain of a copy. The pattern of gains and losses harbors a level of tumor specificity. Here, we present WECCA (weighted clustering of called aCGH da...

Array-based comparative genomic hybridization is a high resolution method for measuring chromosomal copy number changes. Here we present a validated protocol using in-house spotted oligonucleotide libraries for array comparative genomic hybridization (CGH). This oligo array CGH platform yields reproducible results and is capable of detecting single copy gains, multi-copy amplifications as well ...

Genomic copy number changes are frequently found in cancers and they have been demonstrated to contribute to carcinogenesis; and it is widely accepted that tumors with microsatellite instability (MSI) are genetically stable and mostly diploid. In the present study we compared the copy number alterations and the gene-expression profiles of microsatellite stable (MSS) and MSI colorectal tumors. A...

UNLABELLED ArrayCyGHt is a web-based application tool for analysis and visualization of microarray-comparative genomic hybridization (array-CGH) data. Full process of array-CGH data analysis, from normalization of raw data to the final visualization of copy number gain or loss, can be straightforwardly achieved on this arrayCyGHt system without the use of any further software. ArrayCyGHt, there...

UNLABELLED CGHcall achieves high calling accuracy for array CGH data by effective use of breakpoint information from segmentation and by inclusion of several biological concepts that are ignored by existing algorithms. The algorithm is validated for simulated and verified real array CGH data. By incorporating more than three classes, CGHcall improves detection of single copy gains and amplifica...

AIMS Congenital heart defects (CHDs) are frequently caused by chromosomal imbalances, especially when associated with additional malformations, dysmorphism, or developmental delay. Only in a subset of such patients, a chromosomal aberration can be identified with current cytogenetic tests. Array Comparative Genomic Hybridization (Array-CGH) now enables the detection of submicroscopic chromosoma...

BACKGROUND AND OBJECTIVES Nemaline myopathy may be caused by pathogenic variants in the TPM3 gene and is then called NEM1. All previously identified disease-causing variants are point mutations including missense, nonsense and splice-site variants. The aim of the study was to identify the disease-causing gene in this patient and verify the NM diagnosis. METHODS Mutation analysis methods inclu...