Here we developed a novel analysis framework named MACE (model-based analysis of ChIP-exo) dedicated to ChIP-exo data analysis. MACExo has the following four steps: 1) sequencing data normalization and bias correction; 2) signal consolidation and noise reduction; 3) single nucleotide resolution border detection using Chebyshev Inequality; and 4) border matching using Gale-Shapley’s stable matching algorithm. When applied to yeast Reb1 and human CTCF ChIP-exo data, MACE is able to define TFBSs with higher sensitivity, specificity and spatial resolution, as evidenced by multiple criteria, such as motif enrichment, sequence conservation, nucleosome positioning, and open chromatin states.

Project Activity

See All Activity >

Categories

Data Analytics

Follow chipexo

chipexo Web Site

You Might Also Like
Top-Rated Free CRM Software Icon
Top-Rated Free CRM Software

216,000+ customers in over 135 countries grow their businesses with HubSpot

HubSpot is an AI-powered customer platform with all the software, integrations, and resources you need to connect your marketing, sales, and customer service. HubSpot's connected platform enables you to grow your business faster by focusing on what matters most: your customers.
Get started free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of chipexo!

Additional Project Details

Registered

2013-06-20