Project description:The Mammalian Methylation Consortium aimed to characterize the relationship between cytosine methylation levels and a) species characteristics such as maximum lifespan and b) individual sample characteristics such as age, sex, tissue type. Both supervised machine learning approaches and unsupervised machine learning approaches were applied to the data as described in the citations. To facilitate comparative analyses across species, the mammalian methylation consortium applied a single measurement platform (the mammalian methylation array, GPL28271) to n=15216 DNA samples derived from 70 tissue types of 348 different mammalian species (331 eutherian-, 15 marsupial-, and 2 monotreme species). Most of the CpGs are located in highly conserved stretches of DNA but not all CpGs apply to all species as detailed in the description of the platform, GPL28271 and on https://github.com/shorvath/MammalianMethylationConsortium/.
Project description:In this study, we performed bisulphite of two stages of seed development in a small-seeded chickpea cultivar (Himchana 1) using Illumina platform. Paired-end reads were generated from 5 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.
Project description:In this study, we performed bisulphite of five stages of seed development in a large-seeded chickpea cultivar (JGK 3) using Illumina platform. Paired-end reads were generated from 11 libraries. Data obtained in FASTQ files were pre-processed to remove adapters and low-quality reads. We identified methylation level at each cytosine residue covered in sequencing and differentially methylated regions (DMRs) between stages of seed development.
