AI Article Synopsis
- Rapid advancements in sequencing technology are leading to more genomics data on helminth parasites, enhancing our understanding of their genetic variations.
- Current genomic resources for helminths are mostly static and vary in quality, impacting comparative studies among different parasite species.
- The article emphasizes the need for ongoing improvements to these genomic resources post-publication to ensure a comprehensive understanding of helminth biology.
Article Abstract
Rapid advancement in high-throughput sequencing and analytical approaches has seen a steady increase in the generation of genomic resources for helminth parasites. Now, helminth genomes and their annotations are a cornerstone of numerous efforts to compare genetic and transcriptomic variation, from single cells to populations of globally distributed parasites, to genome modifications to understand gene function. Our understanding of helminths is increasingly reliant on these genomic resources, which are primarily static once published and vary widely in quality and completeness between species. This article seeks to highlight the cause and effect of this variation and argues for the continued improvement of these genomic resources - even after their publication - which is necessary to provide a more accurate and complete understanding of the biology of these important pathogens.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.pt.2022.06.002 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Impacts of habitat fragmentation on the genetic diversity of the endangered Guatemalan fir (Abies guatemalensis Rehder).
Genetica
December 2024
Facultad de Agronomía, Universidad de San Carlos de Guatemala, Guatemala City, 01012, Guatemala.
Abies guatemalensis Rehder, an endangered conifer endemic to Central American highlands, is ecologically vital in upper montane forests. It faces threats from habitat fragmentation, unsustainable logging, and illegal Christmas tree harvesting. While previous genetic studies on mature trees from eighteen populations showed high within-population diversity and limited among-population differentiation, the genetic impact of recent anthropogenic pressures on younger generations has yet to be discovered.
View Article and Find Full Text PDFPhage-mediated virulence loss and antimicrobial susceptibility in carbapenem-resistant .
mBio
December 2024
College of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, China.
Bacteriophages, known for their ability to kill bacteria, are hampered in their effectiveness because bacteria are able to rapidly develop resistance, thereby posing a significant challenge for the efficacy of phage therapy. The impact of evolutionary trajectories on the long-term success of phage therapy remains largely unclear. Herein, we conducted evolutionary experiments, genomic analysis, and CRISPR-mediated gene editing, to illustrate the evolutionary trajectory occurring between phages and their hosts.
View Article and Find Full Text PDFAre the knowledge, tools and resources to control foot and mouth disease available?
Rev Sci Tech
December 2024
Foot and mouth disease (FMD) is a highly contagious viral disease of cloven-hoofed animals. Together with other diseases highlighted in this special edition of the Scientific and Technical Review, the circulation of FMD virus in different parts of the world has shaped the work of the World Organisation for Animal Health (WOAH) over the past hundred years. In 2012, the Global Framework for the Progressive Control of Transboundary Animal Diseases, led by WOAH and the Food and Agriculture Organization of the United Nations, established a joint FMD working group and a strategy for the control of FMD.
View Article and Find Full Text PDFUnlabelled: As single-cell genomics technologies continue to accelerate biological discovery, software tools that use elegant syntax and minimal computational resources to analyze atlas-scale datasets are increasingly needed. Here we introduce AnnSQL, a Python package that constructs an AnnData-inspired database using the in-process DuckDb engine, enabling orders-of-magnitude performance enhancements for parsing single-cell genomics datasets with the ease of SQL. We highlight AnnSQL functionality and demonstrate transformative runtime improvements by comparing AnnData or AnnSQL operations on a 4.
View Article and Find Full Text PDFPre-trained language models have transformed the field of natural language processing (NLP), and their success has inspired efforts in genomics to develop domain-specific foundation models (FMs). However, creating high-quality genomic FMs from scratch is resource-intensive, requiring significant computational power and high-quality pre-training data. The success of large language models (LLMs) in NLP has largely been driven by industrial-scale efforts leveraging vast, diverse corpora and massive computing infrastructure.
View Article and Find Full Text PDFWant 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!