ArticleBMC bioinformatics2010
MLPAinter for MLPA interpretation: an integrated approach for the analysis, visualisation and data management of Multiplex Ligation-dependent Probe Amplification.
Article in BMC bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Increasing frequency of gene copy number aberrations is associated with immunosuppression and predicts poor prognosis in gastric adenocarcinoma.The British journal of surgery · 2022Article
- Article
- High levels of global genome methylation in patients with retinoblastoma.Oncology letters · 2020Article
- KRAS status is related to histological phenotype in gastric cancer: results from a large multicentre study.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2019Article
- Investigation of major genetic alterations in neuroblastoma.Molecular biology reports · 2018Article
- Distinct Gene Profiles for Tumor and Non-Tumor Tissue in the Head and Neck: An Analytical Approach.Journal of cancer science & therapy · 2011Article
- MLPAstats: an R GUI package for the integrated analysis of copy number alterations using MLPA data.BMC bioinformatics · 2011Article
- Familial adenomatous polyposis-associated desmoids display significantly more genetic changes than sporadic desmoids.PloS one · 2011Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMultiplex Ligation-Dependent Probe Amplification (MLPA) is an application that can be used for the detection of multiple chromosomal aberrations in a single experiment. In one reaction, up to 50 different genomic sequences can be analysed. For a reliable work-flow, tools are needed for administrative support, data management, normalisation, visualisation, reporting and interpretation.
resultsHere, we developed a data management system, MLPAInter for MLPA interpretation, that is windows executable and has a stand-alone database for monitoring and interpreting the MLPA data stream that is generated from the experimental setup to analysis, quality control and visualisation. A statistical approach is applied for the normalisation and analysis of large series of MLPA traces, making use of multiple control samples and internal controls.
conclusionsMLPAinter visualises MLPA data in plots with information about sample replicates, normalisation settings, and sample characteristics. This integrated approach helps in the automated handling of large series of MLPA data and guarantees a quick and streamlined dataflow from the beginning of an experiment to an authorised report.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.