AI Article Synopsis

  • VCPA is a Variant Calling Pipeline and data management tool designed for analyzing whole genome and exome sequencing, specifically for the Alzheimer's Disease Sequencing Project.
  • It consists of a pipeline for aligning sequence reads and calling variants, and a tracking database for real-time job status and quality metrics visualization, optimized for use on the Amazon cloud.
  • VCPA is available for free under the MIT license, with source code and instructions accessible from the National Institute on Aging's website for academic and nonprofit use.

Article Abstract

Summary: We report VCPA, our SNP/Indel Variant Calling Pipeline and data management tool used for the analysis of whole genome and exome sequencing (WGS/WES) for the Alzheimer's Disease Sequencing Project. VCPA consists of two independent but linkable components: pipeline and tracking database. The pipeline, implemented using the Workflow Description Language and fully optimized for the Amazon elastic compute cloud environment, includes steps from aligning raw sequence reads to variant calling using GATK. The tracking database allows users to view job running status in real time and visualize >100 quality metrics per genome. VCPA is functionally equivalent to the CCDG/TOPMed pipeline. Users can use the pipeline and the dockerized database to process large WGS/WES datasets on Amazon cloud with minimal configuration.

Availability And Implementation: VCPA is released under the MIT license and is available for academic and nonprofit use for free. The pipeline source code and step-by-step instructions are available from the National Institute on Aging Genetics of Alzheimer's Disease Data Storage Site (http://www.niagads.org/VCPA).

Supplementary Information: Supplementary data are available at Bioinformatics online.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6513159PMC
http://dx.doi.org/10.1093/bioinformatics/bty894DOI Listing

Publication Analysis

Top Keywords

variant calling
12
alzheimer's disease
12
calling pipeline
8
pipeline data
8
data management
8
management tool
8
disease sequencing
8
sequencing project
8
tracking database
8
pipeline
7

Similar Publications

Primary ciliary dyskinesia (PCD, OMIM 244400) is a rare genetic disorder that affects motile cilia and is characterised by impaired mucociliary clearance of the airway epithelium, which results in chronic upper and lower airway infections. While short-read next-generation sequencing technology has been used for the genetic testing of PCD, its effectiveness is limited in identifying variants in the gene because of the nearly identical pseudogene As we confirmed that the gene was not expressed in airway cells, we obtained nasal mucosa biopsy specimens for total RNA sequencing (RNA-seq) with library enrichment using exome oligos. Among the 34 nasal samples from patients suspected of having PCD, three aberrant splicing patterns in were identified in two samples.

View Article and Find Full Text PDF

Variant calling using long-read RNA sequencing (lrRNA-seq) can be applied to diverse tasks, such as capturing full-length isoforms and gene expression profiling. It poses challenges, however, due to higher error rates than DNA data, the complexities of transcript diversity, RNA editing events, etc. In this paper, we propose Clair3-RNA, the first deep learning-based variant caller tailored for lrRNA-seq data.

View Article and Find Full Text PDF

Background And Aims: Familial hypercholesterolemia (FH) and other disorders with similar features are common genetic disorders that remain underdiagnosed and undertreated, due in part to the cost of screening. The aim of this study was to design and implement a whole gene targeted NGS panel for the molecular diagnosis of FH and statin intolerance with an emphasis on high quality variant calling, including copy number analysis.

Methods: A whole gene panel for hybridisation-based short read NGS was designed for the dominant FH-genes low density lipoprotein receptor (), apolipoprotein B (APOB), proproteinconvertas subtilisin/kexin type 9 (PCSK9), apolipoprotein E (APOE) and the recessive FH-genes low density lipoprotein receptor adaptor protein 1 (), ATP binding cassette subfamily member 5/8 (ABCG5/8) and lipase A, lysosomal acid type (), as well as solute carrier organic anion transporter family member 1B1 (), not an FH gene but linked to statin intolerance.

View Article and Find Full Text PDF

Genotypic and phenotypic diversity of Mycobacterium tuberculosis strains from eastern India.

Infect Genet Evol

January 2025

Immunogenomics & Systems Biology group, Institute of Life Sciences (ILS), Bhubaneswar, Odisha, India; School of Biotechnology, Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha, India. Electronic address:

Whole genome sequencing has been used to investigate the genomic diversity of M. tuberculosis in the northern and southern states of India, but information about the eastern part of the country is still limited. Through a sequencing-based strategy, this study seeks to comprehend the diversity and drug resistance pattern in the eastern region.

View Article and Find Full Text PDF

Applying artificial intelligence to uncover the genetic landscape of coagulation factors.

J Thromb Haemost

January 2025

Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele, Milan, Italy; IRCCS Humanitas Research Hospital - via Manzoni 56, 20089 Rozzano, Milan, Italy. Electronic address:

Artificial intelligence (AI) is rapidly advancing our ability to identify and interpret genetic variants associated with coagulation factor deficiencies. This review introduces AI, with a specific focus on machine learning (ML) methods, and examines its applications in the field of coagulation genetics over the past decade. We observed a significant increase in AI-related publications, with a focus on hemophilia A and B.

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!