Evidence map›Paper›PMID 34050351›Full record

ArticleBriefings in bioinformatics2021

TSSFinder-fast and accurate ab initio prediction of the core promoter in eukaryotic genomes.

Mauro de Medeiros Oliveira, Igor Bonadio, Alicia Lie de Melo, Glaucia Mendes Souza, Alan Mitchell Durham

Abstract read
In one paragraph

Article in Briefings in bioinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Classification of Promoter Sequences from Human Genome.International journal of molecular sciences · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Genome-Wide Prediction of Transcription Start Sites in Conifers.International journal of molecular sciences · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mauro de Medeiros OliveiraInstituto Carlos Chagas, Fundação Oswaldo Cruz, Paraná, Brazil.
Igor BonadioData Science, Elo7 Research Lab, São Paulo, Brazil.
Alicia Lie de MeloBiochemistry Department, Universidade de São Paulo, São Paulo, Brazil.
Glaucia Mendes SouzaBiochemistry Department, Universidade de São Paulo, São Paulo, Brazil.
Alan Mitchell DurhamComputer Science, Universidade de São Paulo, São Paulo, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promoter annotation is an important task in the analysis of a genome. One of the main challenges for this task is locating the border between the promoter region and the transcribing region of the gene, the transcription start site (TSS). The TSS is the reference point to delimit the DNA sequence responsible for the assembly of the transcribing complex. As the same gene can have more than one TSS, so to delimit the promoter region, it is important to locate the closest TSS to the site of the beginning of the translation. This paper presents TSSFinder, a new software for the prediction of the TSS signal of eukaryotic genes that is significantly more accurate than other available software. We currently are the only application to offer pre-trained models for six different eukaryotic organisms: Arabidopsis thaliana, Drosophila melanogaster, Gallus gallus, Homo sapiens, Oryza sativa and Saccharomyces cerevisiae. Additionally, our software can be easily customized for specific organisms using only 125 DNA sequences with a validated TSS signal and corresponding genomic locations as a training set. TSSFinder is a valuable new tool for the annotation of genomes. TSSFinder source code and docker container can be downloaded from http://tssfinder.github.io. Alternatively, TSSFinder is also available as a web service at http://sucest-fun.org/wsapp/tssfinder/.

Indexed as

GenomePromoter Regions, GeneticSoftwareTranscription Initiation SiteAlgorithmsComputational BiologyDatabases, GeneticEukaryotaGenomicsReproducibility of ResultsSequence Analysis, DNAWeb Browserannotation of genomesconditional random fieldspromoter regiontranscription start site

Identifiers

PMID34050351
PMCPMC8574697

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.