Report on the 2nd Annual Infinium Humanmethylation450 Array Workshop: 15 April 2013 QMUL, London, UK.
Report on the 2nd Annual Infinium Humanmethylation450 Array Workshop: 15 April 2013 QMUL, London, UK.
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DOI：
10.4161/epi.26073
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发表时间：
2013-10
期刊：
影响因子：
3.7
通讯作者：
Morris T
中科院分区：
文献类型：
--
作者：
Lowe R;Morris T
Illumina Infinium HumanMethylation450芯片——其极受欢迎的HumanMethylation27芯片的后续产品——可以说是用于DNA甲基化组分析大规模研究的最常用平台。在去年讨论了这个当时新的平台的初步分析策略的会议取得成功之后，今年（在伦敦大学玛丽皇后学院举行的）会议包括了现已成熟的数据处理流程和标准化方法的介绍，以及一些用于下游分析的令人兴奋的工具。定义细胞组成的重要性是大多数发言者提到的一个新话题。表观基因组在不同细胞类型之间存在差异，确保甲基化差异与样本处理相关而非不同的细胞群体是至关重要的。来自18个国家的215位计算科学家和实验科学家参加了此次会议。有11位发言者、一个小型海报展示环节和一个讨论环节。演讲被录制下来，现在可在http://www.illumina.com/applications/epigenetics/array-based_methylation_analysis/methylation - array - analysis - education.ilmn免费获取。
The Illumina Infinium HumanMethylation450 BeadChip – the successor to their hugely popular HumanMethylation27 BeadChip – is arguably the most prevalent platform for large-scale studies of DNA methylome analysis. After the success of last year’s meeting that discussed initial analysis strategies for this then-new platform, this year’s meeting (held at Queen Mary, University of London) included the presentation of now established pipelines and normalization methods for data analysis, as well as some exciting tools for down-stream analysis. The importance of defining cell composition was a new topic mentioned by most speakers. The epigenome varies between cell types and insuring that methylation differences are related to sample treatment and not a differing cell population is essential. The meeting was attended by 215 computational and bench scientists from 18 countries. There were 11 speakers, a small poster session, and a discussion session. Talks were recorded and are now freely available at http://www.illumina.com/applications/epigenetics/array-based_methylation_analysis/methylation-array-analysis-education.ilmn
影响因子：
3.7
作者：
Marabita F;Almgren M;Lindholm ME;Ruhrmann S;Fagerström-Billai F;Jagodic M;Sundberg CJ;Ekström TJ;Teschendorff AE;Tegnér J;Gomez-Cabrero D
通讯作者：
Gomez-Cabrero D
影响因子：
4.4
作者：
Pidsley R;Y Wong CC;Volta M;Lunnon K;Mill J;Schalkwyk LC
通讯作者：
Schalkwyk LC