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bicycle 1.8.2 | Download and uncompress it. Please, refer to manual to learn how to use bicycle. This ver requires:
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LiveCD | 14.04 Ubuntu Linux 64bit OS with bicycle 1.8.0 installed along with other popular tools for whole genome bisulfite sequencing data analysis. See this page for more details. |
Go to Dockerhub or pull it by running 'docker pull singgroup/bicycle'. To run the image in Windows, have a look at this tutorial. | |
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Simulated data | Uncompress the zip file. There are two directories: one for the reference genome and one with reads in one sample. The simulated data was generated with Sherman and contains reads from a subset of the chr1 of Mus musculus genome (mm9) and the Ecoli genome (to estimate bisulfite conversion and alignment error). The methylation level in mm9 is CG: 30%, CH: 5%. The bisulfite conversion rate in Ecoli is 99.9%. All reads are pooled in the same sample (sample-1 subdirectory inside the reads directory). |
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Raw data | A public dataset from this paper from Bernstein et al. 2015 that describes a new targeted bisulfite sequencing approach is used. This dataset consists of five non-diabetic and five type 2 diabetic samples from human pancreatic islets that were sequenced with an Illumina Miseq sequencer (14.15 million of 150 base pair paired-end reads). |
Reference genome | The reference genome along with its corresponding bowtie 2 indexes to use in the case study. |
Target regions | The target regions of interest to use in the case study. |