ReviewBioinformatics and biology insights2016
Computational Identification of Novel Genes: Current and Future Perspectives.
Review in Bioinformatics and biology insights, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed.
- Expression analyses of chemosensory genes provide insights into evolution of gustatory receptor genes in the bumble bee Bombus impatiens.BMC genomics · 2025Article
- Orphan genes are not a distinct biological entity.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025Review
- Decoding functional proteome information in model organisms using protein language models.NAR genomics and bioinformatics · 2024Article
- Article
- Shining a light on the dark proteome: Non-canonical open reading frames and their encoded miniproteins as a new frontier in cancer biology.Protein science : a publication of the Protein Society · 2023Review
- A review of standardized high-throughput cardiovascular phenotyping with a link to metabolism in mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2023Review
- Functional metagenomics uncovers nitrile-hydrolysing enzymes in a coal metagenome.Frontiers in molecular biosciences · 2023Article
- Origin of an antifreeze protein gene in response to Cenozoic climate change.Scientific reports · 2022Article
- Foster thy young: enhanced prediction of orphan genes in assembled genomes.Nucleic acids research · 2022Article
- Self-assembled peptide and protein nanostructures for anti-cancer therapy: Targeted delivery, stimuli-responsive devices and immunotherapy.Nano today · 2021Article
- Overview of the betta fish genome regarding species radiation, parental care, behavioral aggression, and pigmentation model relevant to humans.Genes & genomics · 2021Review
- Advances in the Bioinformatics Knowledge of mRNA Polyadenylation in Baculovirus Genes.Viruses · 2020Review
- Nutrition-responsive gene expression and the developmental evolution of insect polyphenism.Nature ecology & evolution · 2020Article
- A report on DNA sequence determinants in gene expression.Bioinformation · 2020Article
- Global Role of Crop Genomics in the Face of Climate Change.Frontiers in plant science · 2020Review
- Faustovirus E12 Transcriptome Analysis Reveals Complex Splicing in Capsid Gene.Frontiers in microbiology · 2018Article
- Bioinformatic Analyses of Unique (Orphan) Core Genes of the GenusFrontiers in microbiology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
While it has long been thought that all genomic novelties are derived from the existing material, many genes lacking homology to known genes were found in recent genome projects. Some of these novel genes were proposed to have evolved de novo, ie, out of noncoding sequences, whereas some have been shown to follow a duplication and divergence process. Their discovery called for an extension of the historical hypotheses about gene origination. Besides the theoretical breakthrough, increasing evidence accumulated that novel genes play important roles in evolutionary processes, including adaptation and speciation events. Different techniques are available to identify genes and classify them as novel. Their classification as novel is usually based on their similarity to known genes, or lack thereof, detected by comparative genomics or against databases. Computational approaches are further prime methods that can be based on existing models or leveraging biological evidences from experiments. Identification of novel genes remains however a challenging task. With the constant software and technologies updates, no gold standard, and no available benchmark, evaluation and characterization of genomic novelty is a vibrant field. In this review, the classical and state-of-the-art tools for gene prediction are introduced. The current methods for novel gene detection are presented; the methodological strategies and their limits are discussed along with perspective approaches for further studies.
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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.