TIPR: transcription initiation pattern recognition on a genome scale.

ABSTRACT:

Motivation

The computational identification of gene transcription start sites (TSSs) can provide insights into the regulation and function of genes without performing expensive experiments, particularly in organisms with incomplete annotations. High-resolution general-purpose TSS prediction remains a challenging problem, with little recent progress on the identification and differentiation of TSSs which are arranged in different spatial patterns along the chromosome.

Results

In this work, we present the Transcription Initiation Pattern Recognizer (TIPR), a sequence-based machine learning model that identifies TSSs with high accuracy and resolution for multiple spatial distribution patterns along the genome, including broadly distributed TSS patterns that have previously been

SUBMITTER: Morton T 

PROVIDER: S-EPMC4804766 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature