ArticlePeerJ2018
FUSTr: a tool to find gene families under selection in transcriptomes.
Article in PeerJ, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Universal signatures of transposable element compartmentalization across eukaryotic genomes.bioRxiv : the preprint server for biology · 2024Article
- Transcriptome Profiling and Functional Validation of RING-Type E3 Ligases in HalophyteInternational journal of molecular sciences · 2022Article
- Shifts in morphology, gene expression, and selection underlie web loss in Hawaiian Tetragnatha spiders.BMC ecology and evolution · 2021Article
- Comparative transcriptomics of ice-crawlers demonstrates cold specialization constrains niche evolution in a relict lineage.Evolutionary applications · 2021Article
- Pick Your Poison: Molecular Evolution of Venom Proteins in Asilidae (Insecta: Diptera).Toxins · 2020Article
- The genome of pest Rhynchophorus ferrugineus reveals gene families important at the plant-beetle interface.Communications biology · 2020Article
- Shifting evolutionary sands: transcriptome characterization of the Aptostichus atomarius species complex.BMC evolutionary biology · 2020Article
- 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe recent proliferation of large amounts of biodiversity transcriptomic data has resulted in an ever-expanding need for scalable and user-friendly tools capable of answering large scale molecular evolution questions. FUSTr identifies gene families involved in the process of adaptation. This is a tool that finds genes in transcriptomic datasets under strong positive selection that automatically detects isoform designation patterns in transcriptome assemblies to maximize phylogenetic independence in downstream analysis.
resultsWhen applied to previously studied spider transcriptomic data as well as simulated data, FUSTr successfully grouped coding sequences into proper gene families as well as correctly identified those under strong positive selection in relatively little time.
conclusionsFUSTr provides a useful tool for novice bioinformaticians to characterize the molecular evolution of organisms throughout the tree of life using large transcriptomic biodiversity datasets and can utilize multi-processor high-performance computational facilities.
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.