SummaryCytosine methylation is a hallmark of epigenetic information in the DNA of many fungi, vertebrates and plants. The technique of bisulphite genomic sequencing reveals the methylation state of every individual cytosine in a sequence, and thereby provides high-resolution data on epigenetic diversity; however, the manual evaluation and documentation of large amounts of data is laborious and error-prone. While some software is available for facilitating the analysis of mammalian DNA methylation, which is found nearly exclusively at CG sites, there is no software optimally suited for data from DNA with significant non-CG methylation. We describe CyMATE (Cytosine Methylation Analysis Tool for Everyone) for in silico analysis of DNA sequences after bisulphite conversion of plant DNA, in which methylation is more divergent with respect to sequence context and biological relevance. From aligned sequences, CyMATE includes and distinguishes methylation at CG, CHG and CHH (where H = A, C or T), and can extract both quantitative and qualitative data regarding general and pattern-specific methylation per sequence and per position, i.e. data for individual sites in a sequence and the epigenetic divergence within a sample. In addition, it can provide graphical output from alignments in either an overview or a 'zoom-in' view as pdf files. Detailed information, including a quality control of the sequencing data, is provided in text format. We applied CyMATE to the analysis of DNA methylation at transcriptionally silenced promoters in diploid and polyploid Arabidopsis and found significant hypermethylation, high stability of the methylated state independent of chromosome number, and non-redundant patterns of m C distribution. CyMATE is freely available for non-commercial use at http://www.gmi.oeaw.ac.at/CyMATE.

A vast variety of topics relate to the field of Software Engineering. Some universities implement curricula covering all aspects of Software Engineering. A number of other courses cover detailed aspects, e.g. programming, usability and security issues, analysis, architecture, design, and quality. Other universities offer general curricula considering Software Engineering in few or single course only. In each case, a course set has to be defined which directly relates to a specific student outcome. This work provides a method for categorizing and analyzing a course set within abstract dimensions for course design. We subsequently show the results of applying the dimensions to the course degree scheme in use. The course design dimensions can also be related to the student outcomes defined in SE2004 CC Section 3.2 [10].

Amplifying and sequencing DNA after bisulfite treatment of genomic DNA reveals the methylation state of cytosine residues at the highest resolution possible. However, a thorough analysis is required for statistical evaluation of methylation at all sites in each genomic region. Several software tools were developed to assist in quantitative evaluation of bisulfite sequencing data from complex methylation patterns occurring in plants. This chapter describes the application of Cytosine Methylation Analysis Tool for Everyone (CyMATE). From aligned sequences, CyMATE quantifies and illustrates general and pattern-specific methylation at CG, CHG, and CHH (H = A, C, or T) sites, both per sequence and per position. CyMATE is also able to perform a quality control of sequences and to detect redundancy among individual clones. The software is able to reveal methylation patterns on complementary strands by handling data from hairpin bisulfite sequencing. The tool is freely available for non-commercial use at http://www.cymate.org .