TRAP: automated classification, quantification and annotation of tandemly repeated sequences.

Bioinformatics

Departamento de Parasitologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo SP, 05508-000, Brazil.

Published: February 2006

TRAP, the Tandem Repeats Analysis Program, is a Perl program that provides a unified set of analyses for the selection, classification, quantification and automated annotation of tandemly repeated sequences. TRAP uses the results of the Tandem Repeats Finder program to perform a global analysis of the satellite content of DNA sequences, permitting researchers to easily assess the tandem repeat content for both individual sequences and whole genomes. The results can be generated in convenient formats such as HTML and comma-separated values. TRAP can also be used to automatically generate annotation data in the format of feature table and GFF files.

Download full-text PDF

Source
http://dx.doi.org/10.1093/bioinformatics/bti809DOI Listing

Publication Analysis

Top Keywords

classification quantification
8
annotation tandemly
8
tandemly repeated
8
repeated sequences
8
sequences trap
8
trap tandem
8
tandem repeats
8
trap
4
trap automated
4
automated classification
4

Similar Publications

Introduction: Accurate and consistent data play a critical role in enabling health officials to make informed decisions regarding emerging trends in SARS-CoV-2 infections. Alongside traditional indicators such as the 7-day-incidence rate, wastewater-based epidemiology can provide valuable insights into SARS-CoV-2 concentration changes. However, the wastewater compositions and wastewater systems are rather complex.

View Article and Find Full Text PDF

Purpose: Photon counting detectors offer promising advancements in computed tomography (CT) imaging by enabling the quantification and three-dimensional imaging of contrast agents and tissue types through simultaneous multi-energy projections from broad X-ray spectra. However, the accuracy of these decomposition methods hinges on precise composite spectral attenuation values that one must reconstruct from spectral micro-CT. Errors in such estimations could be due to effects such as beam hardening, object scatter, or detector sensor-related spectral distortions such as fluorescence.

View Article and Find Full Text PDF

BK Polyomavirus nephropathy (PVN) with definitive diagnosis on biopsy, presents incidentally or with varying degrees of graft dysfunction. Banff working group on PVN has proposed a novel scoring system in renal biopsies, to identify patients with higher risk of graft failure. In this study, we attempted to validate the Banff scoring system at index biopsies and correlate with a novel index score, plasma BK-virus load and graft outcome.

View Article and Find Full Text PDF

Background: Neovascularisation of carotid plaques contributes to their vulnerability. Current imaging methods such as contrast-enhanced ultrasound (CEUS) usually lack the required spatial resolution and quantification capability for precise neovessels identification. We aimed at quantifying plaque vascularisation with ultrasound localization microscopy (ULM) and compared the results to histological analysis.

View Article and Find Full Text PDF

Background And Purpose: External drainage represents a well-established treatment option for acute intracerebral hemorrhage. The current standard of practice includes post-operative computer tomography imaging, which is subjectively evaluated. The implementation of an objective, automated evaluation of postoperative studies may enhance diagnostic accuracy and facilitate the scaling of research projects.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!