ArticleBioMed research international2015
ProGeRF: proteome and genome repeat finder utilizing a fast parallel hash function.
Article in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Streamlining of Simple Sequence Repeat Data Mining Methodologies and Pipelines for Crop Scanning.Plants (Basel, Switzerland) · 2024Review
- What are microsatellites and how to choose the best tool: a user-friendly review of SSR and 74 SSR mining tools.Frontiers in genetics · 2024Review
- EasySSR: a user-friendly web application with full command-line features for large-scale batch microsatellite mining and samples comparison.Frontiers in genetics · 2023Article
- BigFiRSt: A Software Program Using Big Data Technique for Mining Simple Sequence Repeats From Large-Scale Sequencing Data.Frontiers in big data · 2021Article
- SSRMMD: A Rapid and Accurate Algorithm for Mining SSR Feature Loci and Candidate Polymorphic SSRs Based on Assembled Sequences.Frontiers in genetics · 2020Article
- IDSSR: An Efficient Pipeline for Identifying Polymorphic Microsatellites from a Single Genome Sequence.International journal of molecular sciences · 2019Article
- ImtRDB: a database and software for mitochondrial imperfect interspersed repeats annotation.BMC genomics · 2019Article
- Kmer-SSR: a fast and exhaustive SSR search algorithm.Bioinformatics (Oxford, England) · 2017Article
- MISA-web: a web server for microsatellite prediction.Bioinformatics (Oxford, England) · 2017Article
- TipMT: Identification of PCR-based taxon-specific markers.BMC bioinformatics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Repetitive element sequences are adjacent, repeating patterns, also called motifs, and can be of different lengths; repetitions can involve their exact or approximate copies. They have been widely used as molecular markers in population biology. Given the sizes of sequenced genomes, various bioinformatics tools have been developed for the extraction of repetitive elements from DNA sequences. However, currently available tools do not provide options for identifying repetitive elements in the genome or proteome, displaying a user-friendly web interface, and performing-exhaustive searches. ProGeRF is a web site for extracting repetitive regions from genome and proteome sequences. It was designed to be efficient, fast, and accurate and primarily user-friendly web tool allowing many ways to view and analyse the results. ProGeRF (Proteome and Genome Repeat Finder) is freely available as a stand-alone program, from which the users can download the source code, and as a web tool. It was developed using the hash table approach to extract perfect and imperfect repetitive regions in a (multi)FASTA file, while allowing a linear time complexity.
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.