ReviewToxins2016
Snake Genome Sequencing: Results and Future Prospects.
Review in Toxins, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
20 citing papers in PubMed, 39 citations in OpenAlex.
- Unveiling the Evolutionary History of European Vipers and Their Venoms From a Multi-Omic Approach.Molecular ecology · 2025Article
- The Venom ofVeterinary sciences · 2024Article
- A Review of Rattlesnake Venoms.Toxins · 2023Review
- Review
- Identification of Daboia siamensis venome using integrated multi-omics data.Scientific reports · 2022Article
- The draft genome sequence of the Brahminy blindsnake Indotyphlops braminus.Scientific data · 2022Article
- The rise of genomics in snake venom research: recent advances and future perspectives.GigaScience · 2022Article
- Review
- Review
- Article
- Old World Vipers-A Review about Snake Venom Proteomics of Viperinae and Their Variations.Toxins · 2021Review
- Tracking the recruitment and evolution of snake toxins using the evolutionary context provided by theProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Proteomic Investigations of Two PakistaniToxins · 2020Article
- Article
- A brief review on the natural history, venomics and the medical importance of bushmaster (Toxicon: X · 2020Article
- The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins.Nature genetics · 2020Article
- Diversity of PBI-DdeI satellite DNA in snakes correlates with rapid independent evolution and different functional roles.Scientific reports · 2019Article
- Examples of Weak, If Not Absent, Form-Function Relations in the Vertebrate Heart.Journal of cardiovascular development and disease · 2018Review
- A novel method of caenophidian snake sex identification using molecular markers based on two gametologous genes.Ecology and evolution · 2017Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Snake genome sequencing is in its infancy-very much behind the progress made in sequencing the genomes of humans, model organisms and pathogens relevant to biomedical research, and agricultural species. We provide here an overview of some of the snake genome projects in progress, and discuss the biological findings, with special emphasis on toxinology, from the small number of draft snake genomes already published. We discuss the future of snake genomics, pointing out that new sequencing technologies will help overcome the problem of repetitive sequences in assembling snake genomes. Genome sequences are also likely to be valuable in examining the clustering of toxin genes on the chromosomes, in designing recombinant antivenoms and in studying the epigenetic regulation of toxin gene expression.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.