scholarly journals Pathology tissue-chromatin immunoprecipitation, coupled with high-throughput sequencing, allows the epigenetic profiling of patient samples

2010 ◽  
Vol 107 (50) ◽  
pp. 21535-21540 ◽  
Author(s):  
M. Fanelli ◽  
S. Amatori ◽  
I. Barozzi ◽  
M. Soncini ◽  
R. Dal Zuffo ◽  
...  
Keyword(s):  
High Throughput ◽  
Chromatin Immunoprecipitation ◽  
High Throughput Sequencing

Genome-wide mapping of endogenous G-quadruplex DNA structures by chromatin immunoprecipitation and high-throughput sequencing

2018 ◽  
Vol 13 (3) ◽  
pp. 551-564 ◽  
Author(s):  
Robert Hänsel-Hertsch ◽  
Jochen Spiegel ◽  
Giovanni Marsico ◽  
David Tannahill ◽  
Shankar Balasubramanian
Keyword(s):  
High Throughput ◽  
Chromatin Immunoprecipitation ◽  
High Throughput Sequencing ◽  
Quadruplex Dna ◽  
Dna Structures ◽  
Genome Wide ◽  
G Quadruplex

Chromatin immunoprecipitation and high-throughput sequencing from paraffin-embedded pathology tissue

2011 ◽  
Vol 6 (12) ◽  
pp. 1905-1919 ◽  
Author(s):  
Mirco Fanelli ◽  
Stefano Amatori ◽  
Iros Barozzi ◽  
Saverio Minucci
Keyword(s):  
High Throughput ◽  
Chromatin Immunoprecipitation ◽  
High Throughput Sequencing

epic2 efficiently finds diffuse domains in ChIP-seq data

2019 ◽  
Vol 35 (21) ◽  
pp. 4392-4393 ◽  
Author(s):  
Endre Bakken Stovner ◽  
Pål Sætrom
Keyword(s):  
High Throughput ◽  
Chromatin Immunoprecipitation ◽  
High Throughput Sequencing ◽  
Ease Of Use ◽  
Supplementary Information ◽  
Supplementary Data ◽  
Memory Overhead

Abstract Summary Data from chromatin immunoprecipitation (ChIP) followed by high-throughput sequencing (ChIP-seq) generally contain either narrow peaks or broad and diffusely enriched domains. The SICER ChIP-seq caller has proven adept at finding diffuse domains in ChIP-seq data, but it is slow, requires much memory, needs manual installation steps and is hard to use. epic2 is a complete rewrite of SICER that is focused on speed, low memory overhead and ease-of-use. Availability and implementation The MIT-licensed code is available at https://github.com/biocore-ntnu/epic2. Supplementary information Supplementary data are available at Bioinformatics online.

Sign in / Sign up

Export Citation Format

Share Document