Nowadays, the manipulation and analysis of genomic data stored in publicly accessible repositories have become a daily task in genomics and bioinformatics laboratories. Due to the enormous advancement in the field of genome sequencing and the emergence of many projects, bioinformaticians have pushed for the creation of a variety of programs and pipelines that will automatically analyze such big data, in particular the pipelines of gene annotation. Dealing with annotation files using easy and simple programs is very important, particularly for non-developers, enhancing the genomic data analysis acceleration. One of the first tasks required to work with genomic annotation files is to extract different features. In this regard, we have developed GAD ( https://github.com/bio-projects/GAD ) using Python to be a fast, easy, and controlled script that has a high ability to handle annotation files such as GFF3 and GTF. GAD is a cross-platform graphical interface tool used to extract genome features such as intergenic regions, upstream, and downstream genes. Besides, GAD finds all names of ambiguous sequence ontology, and either extracts them or considers them as genes or transcripts. The results are produced in a variety of file formats, such as BED, GTF, GFF3, and FASTA, supported by other bioinformatics programs. The GAD can handle large sizes of different genomes and an infinite number of files with minimal user effort. Therefore, our script could be integrated into various pipelines in all genomic laboratories to accelerate data analysis.
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http://dx.doi.org/10.1007/s12539-020-00378-4 | DOI Listing |
Sci Rep
January 2025
Department of Urology, The Second Hospital & Clinical Medical School, Lanzhou University, Lanzhou, 730030, People's Republic of China.
Benign prostatic hyperplasia (BPH) is a prevalent urinary system disorder. Despite evidence of a significant genetic component from previous studies, the specific pathogenic genes and biological mechanisms are still largely unknown. The study utilized the FinnGen R10 dataset, encompassing 177,901 individuals (36,601 cases and 141,300 controls), and the GTEx v8 EQTLs files to conduct single-tissue and cross-tissue transcriptome-wide association studies (TWAS).
View Article and Find Full Text PDFComp Biochem Physiol Part D Genomics Proteomics
January 2025
College of Plant Protection, Yangzhou University, Yangzhou 225009, Jiangsu, China. Electronic address:
Glutathione S-transferase (GST) plays a critical role in detoxifying various chemical compounds and is essential for host adaptation and pesticide resistance in insects. To understand the genetic structure of the GST family and the expression patterns among three haplotypes of Aphis gossypii, we conducted studies using genome annotation files and RNA-seq data. We identified 11 GSTs in A.
View Article and Find Full Text PDFAnimals (Basel)
December 2024
Information Technology Research Center, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100097, China.
The stable physiological structure and rich vascular network of pig ears contribute to distinct thermal characteristics, which can reflect temperature variations. While the temperature of the pig ear does not directly represent core body temperature due to the ear's role in thermoregulation, thermal infrared imaging offers a feasible approach to analyzing individual pig status. Based on this background, a dataset comprising 23,189 thermal infrared images of pig ears (TIRPigEar) was established.
View Article and Find Full Text PDFNature
January 2025
Department of Radiation Oncology, Stanford University School of Medicine, Stanford, CA, USA.
Clinical decision-making is driven by multimodal data, including clinical notes and pathological characteristics. Artificial intelligence approaches that can effectively integrate multimodal data hold significant promise in advancing clinical care. However, the scarcity of well-annotated multimodal datasets in clinical settings has hindered the development of useful models.
View Article and Find Full Text PDFNephrology (Carlton)
January 2025
Center for Genetics and Inherited Diseases, Taibah University Medina, Madinah, Kingdom of Saudi Arabia.
Aim: Autosomal recessive primary hyperoxalurias (PH) are genetic disorders characterised by elevated oxalate production. Mutations in genes involved in glycoxylate metabolism are the underlying cause of PH. Type 1 PH (PH1) results in malfunctioning of alanine-glyoxylate aminotransferase enzymes of liver due to a change in the genetic sequence of alanine-glyoxylate aminotransferase (AGXT) gene.
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