Publications by Sunil Kumar | EPFL Graph Search

Predicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features

Background: Understanding the mechanisms by which transcription factors (TF) are recruited to their physiological target sites is crucial for understanding gene regulation. DNA sequence intrinsic features such as predicted binding affinity are often not ve ...

Biomed Central Ltd2016

SNP2TFBS - a database of regulatory SNPs affecting predicted transcription factor binding site affinity

Giovanna Ambrosini, Philipp Bucher, Sunil Kumar

SNP2TFBS is a computational resource intended to support researchers investigating the molecular mechanisms underlying regulatory variation in the human genome. The database essentially consists of a collection of text files providing specific annotations ...

Oxford University Press2016

The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data

Giovanna Ambrosini, Philipp Bucher, René Dreos, Sunil Kumar

ChIP-seq and related high-throughput chromatin profilig assays generate ever increasing volumes of highly valuable biological data. To make sense out of it, biologists need versatile, efficient and user-friendly tools for access, visualization and itegrati ...

2016

Probabilistic partitioning methods to find significant patterns in ChIP-Seq data

Bernard Moret, Philipp Bucher, Nishanth Ulhas Nair, Sunil Kumar

Motivation: We have witnessed an enormous increase in ChIP-Seq data for histone modifications in the past few years. Discovering significant patterns in these data is an important problem for understanding biological mechanisms. Results: We propose probabi ...

Oxford University Press2014