Comprehensive DNA signature discovery and validation.

PLoS Comput Biol

Center for Bioinformatics and Computational Biology, University of Maryland, College Park, Maryland, United States of America.

Published: May 2007

DNA signatures are nucleotide sequences that can be used to detect the presence of an organism and to distinguish that organism from all other species. Here we describe Insignia, a new, comprehensive system for the rapid identification of signatures in the genomes of bacteria and viruses. With the availability of hundreds of complete bacterial and viral genome sequences, it is now possible to use computational methods to identify signature sequences in all of these species, and to use these signatures as the basis for diagnostic assays to detect and genotype microbes in both environmental and clinical samples. The success of such assays critically depends on the methods used to identify signatures that properly differentiate between the target genomes and the sample background. We have used Insignia to compute accurate signatures for most bacterial genomes and made them available through our Web site. A sample of these signatures has been successfully tested on a set of 46 Vibrio cholerae strains, and the results indicate that the signatures are highly sensitive for detection as well as specific for discrimination between these strains and their near relatives. Our approach, whereby the entire genomic complement of organisms are compared to identify probe targets, is a promising method for diagnostic assay development, and it provides assay designers with the flexibility to choose probes from the most relevant genes or genomic regions. The Insignia system is freely accessible via a Web interface and has been released as open source software at: http://insignia.cbcb.umd.edu.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1868776PMC
http://dx.doi.org/10.1371/journal.pcbi.0030098DOI Listing

Publication Analysis

Top Keywords

methods identify
8
signatures
7
comprehensive dna
4
dna signature
4
signature discovery
4
discovery validation
4
validation dna
4
dna signatures
4
signatures nucleotide
4
nucleotide sequences
4

Similar Publications

Incidence and Risk Factors for Amiodarone-Induced Thyroid Dysfunction: A Nationwide Retrospective Cohort Study.

Am J Cardiovasc Drugs

January 2025

Division of Cardiology, Department of Internal Medicine, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Republic of Korea.

Background: Amiodarone is an effective anti-arrhythmic drug; however, it is frequently associated with thyroid dysfunction. The aim of this study was to investigate the incidence and risk factor of amiodarone-induced dysfunction in an iodine-sufficient area.

Methods: This retrospective cohort study included 27,023 consecutive patients treated with amiodarone for arrhythmia, using the Korean National Health Insurance database.

View Article and Find Full Text PDF

Chemsex is a specific practice of sexualized drug use (SDU), linked mainly to the group of men who have sex with men (MSM). This practice has become a public health problem due to the increase in sexually transmitted infections and HIV. However, there are groups and aspects that require greater visibility and research.

View Article and Find Full Text PDF

Stroke is the second-leading global cause of death. The damage attributed to the immune storm triggered by ischemia-reperfusion injury (IRI) post-stroke is substantial. However, data on the transcriptomic dynamics of pyroptosis in IRI are limited.

View Article and Find Full Text PDF

Purpose: Perioperative respiratory adverse event (PRAE) is one of the most common complications in pediatric anesthesia. We aimed to evaluate the efficacy of perioperative pharmacological interventions to prevent the development of PRAE in children undergoing noncardiac surgery.

Methods: PubMed, Embase, Cochrane Library and ClinicalTrials.

View Article and Find Full Text PDF

Presurgical anxiety and acute postsurgical pain predict worse chronic pain profiles after total knee/hip arthroplasty.

Arch Orthop Trauma Surg

January 2025

Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Campus de Gualtar, Braga, 4710-057, Portugal.

Introduction: Total joint arthroplasties generally achieve good outcomes, but chronic pain and disability are a significant burden after these interventions. Acknowledging relevant risk factors can inform preventive strategies. This study aimed to identify chronic pain profiles 6 months after arthroplasty using the ICD-11 (International Classification of Diseases) classification and to find pre and postsurgical predictors of these profiles.

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!