ArticleFrontiers in genetics2015
FAST: FAST Analysis of Sequences Toolbox.
Article in Frontiers in genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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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.
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Who cites it
27 citing papers in PubMed.
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- Evolution, composition and functions of cullin E3 ubiquitin ligases in trypanosomes.Scientific reports · 2025Article
- Integrated analysis of microRNA and mRNA interactions regulating fecundity in the ovaries of two distinct sheep breeds.BMC genomics · 2025Article
- A lineage-specific protein network at the trypanosome nuclear envelope.Nucleus (Austin, Tex.) · 2024Article
- SNP-SVant: A Computational Workflow to Predict and Annotate Genomic Variants in Organisms Lacking Benchmarked Variants.Current protocols · 2024Article
- Horizontal gene transfer in plant microbiomes: integrons as hotspots for cross-species gene exchange.Frontiers in microbiology · 2024Article
- Evolution and diversification of the nuclear envelope.Nucleus (Austin, Tex.) · 2021Article
- RNAlign2D: a rapid method for combined RNA structure and sequence-based alignment using a pseudo-amino acid substitution matrix.BMC bioinformatics · 2021Article
- Productive visualization of high-throughput sequencing data using the SeqCode open portable platform.Scientific reports · 2021Article
- Cultivating the Bacterial Microbiota ofmSystems · 2021Article
- Automated Phylogenetic Analysis Using Best Reciprocal BLAST.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.Journal of chemical information and modeling · 2020Article
- Supercomputer-Based Ensemble Docking Drug Discovery Pipeline with Application to Covid-19.ChemRxiv : the preprint server for chemistry · 2020Article
- Isolation, Characterization, and Pathogenicity of TwoMicroorganisms · 2020Article
- NADThe Journal of biological chemistry · 2020Article
- Genomic and biochemical evidence of dietary adaptation in a marine herbivorous fish.Proceedings. Biological sciences · 2020Article
- Targeting tRNA-synthetase interactions towards novel therapeutic discovery against eukaryotic pathogens.PLoS neglected tropical diseases · 2020Article
- Article
- tRNA functional signatures classify plastids as late-branching cyanobacteria.BMC evolutionary biology · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
FAST (FAST Analysis of Sequences Toolbox) provides simple, powerful open source command-line tools to filter, transform, annotate and analyze biological sequence data. Modeled after the GNU (GNU's Not Unix) Textutils such as grep, cut, and tr, FAST tools such as fasgrep, fascut, and fastr make it easy to rapidly prototype expressive bioinformatic workflows in a compact and generic command vocabulary. Compact combinatorial encoding of data workflows with FAST commands can simplify the documentation and reproducibility of bioinformatic protocols, supporting better transparency in biological data science. Interface self-consistency and conformity with conventions of GNU, Matlab, Perl, BioPerl, R, and GenBank help make FAST easy and rewarding to learn. FAST automates numerical, taxonomic, and text-based sorting, selection and transformation of sequence records and alignment sites based on content, index ranges, descriptive tags, annotated features, and in-line calculated analytics, including composition and codon usage. Automated content- and feature-based extraction of sites and support for molecular population genetic statistics make FAST useful for molecular evolutionary analysis. FAST is portable, easy to install and secure thanks to the relative maturity of its Perl and BioPerl foundations, with stable releases posted to CPAN. Development as well as a publicly accessible Cookbook and Wiki are available on the FAST GitHub repository at https://github.com/tlawrence3/FAST. The default data exchange format in FAST is Multi-FastA (specifically, a restriction of BioPerl FastA format). Sanger and Illumina 1.8+ FastQ formatted files are also supported. FAST makes it easier for non-programmer biologists to interactively investigate and control biological data at the speed of thought.
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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.