scholarly journals Technical Considerations for Reduced Representation Bisulfite Sequencing with Multiplexed Libraries

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Aniruddha Chatterjee ◽  
Euan J. Rodger ◽  
Peter A. Stockwell ◽  
Robert J. Weeks ◽  
Ian M. Morison

Reduced representation bisulfite sequencing (RRBS), which couples bisulfite conversion and next generation sequencing, is an innovative method that specifically enriches genomic regions with a high density of potential methylation sites and enables investigation of DNA methylation at single-nucleotide resolution. Recent advances in the Illumina DNA sample preparation protocol and sequencing technology have vastly improved sequencing throughput capacity. Although the new Illumina technology is now widely used, the unique challenges associated with multiplexed RRBS libraries on this platform have not been previously described. We have made modifications to the RRBS library preparation protocol to sequence multiplexed libraries on a single flow cell lane of the Illumina HiSeq 2000. Furthermore, our analysis incorporates a bioinformatics pipeline specifically designed to process bisulfite-converted sequencing reads and evaluate the output and quality of the sequencing data generated from the multiplexed libraries. We obtained an average of 42 million paired-end reads per sample for each flow-cell lane, with a high unique mapping efficiency to the reference human genome. Here we provide a roadmap of modifications, strategies, and trouble shooting approaches we implemented to optimize sequencing of multiplexed libraries on an a RRBS background.

2020 ◽  
Author(s):  
Fleur Gawehns ◽  
Maarten Postuma ◽  
Thomas P. van Gurp ◽  
Niels C. A. M. Wagemaker ◽  
Samar Fatma ◽  
...  

AbstractepiGBS is an existing reduced representation bisulfite sequencing method to determine cytosine methylation and genetic polymorphisms de novo. Here, we present epiGBS2, an improved epiGBS laboratory protocol and user-friendly bioinformatics pipeline for a wide range of species with or without reference genome. epiGBS2 decreases costs and time investment and increases user-friendliness and reproducibility. The library protocol was adjusted to allow for a flexible choice of restriction enzymes and a double digest. Instead of fully methylated adapters, semi-methylated adapters are now used. The bioinformatics pipeline was improved in speed and integrated in the snakemake workflow management system, which now makes the pipeline easy to execute, modular, and parameter settings flexible. We also provide a detailed description of the laboratory protocol, an extensive manual of the bioinformatics pipeline, which is publicly accessible on github (https://github.com/nioo-knaw/epiGBS2) and zenodo (https://doi.org/10.5281/zenodo.3819996), and example output.


2013 ◽  
Vol 2013 (1) ◽  
pp. 5363
Author(s):  
Benedetta Izzi ◽  
Juan J. Carmona ◽  
Alexandra M. Binder ◽  
Allan C. Just ◽  
Jitendra Barupal ◽  
...  

2015 ◽  
Vol 31 (12) ◽  
pp. 2040-2042 ◽  
Author(s):  
Xuefeng Wang ◽  
Xiaoqing Yu ◽  
Wei Zhu ◽  
W. Richard McCombie ◽  
Eric Antoniou ◽  
...  

Genomics Data ◽  
2016 ◽  
Vol 10 ◽  
pp. 97-100 ◽  
Author(s):  
Danqing Yin ◽  
Matthew E. Ritchie ◽  
Jafar S. Jabbari ◽  
Tamara Beck ◽  
Marnie E. Blewitt ◽  
...  

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