scholarly journals Chromatin Immunoprecipitation with Fixed Animal Tissues and Preparation for High-Throughput Sequencing:

2015 ◽  
Vol 2015 (2) ◽  
pp. pdb.prot084848 ◽  
Author(s):  
Justin L. Cotney ◽  
James P. Noonan
Keyword(s):  
High Throughput ◽  
Chromatin Immunoprecipitation ◽  
High Throughput Sequencing ◽  
Animal Tissues

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.

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