ArticleBioinformatics and biology insights2017
Transcriptologs: A Transcriptome-Based Approach to Predict Orthology Relationships.
Article in Bioinformatics and biology insights, 2017. 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
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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
8 citing papers in PubMed.
- Comparative Transcriptomics to Identify RNA Writers and Erasers in Microalgae.International journal of molecular sciences · 2024Article
- Article
- Onecut Regulates Core Components of the Molecular Machinery for Neurotransmission in Photoreceptor Differentiation.Frontiers in cell and developmental biology · 2021Article
- mInternational journal of molecular sciences · 2020Article
- Bioinformatics Resources for Plant Abiotic Stress Responses: State of the Art and Opportunities in the Fast Evolving -Omics Era.Plants (Basel, Switzerland) · 2020Review
- Bioinformatics for Marine Products: An Overview of Resources, Bottlenecks, and Perspectives.Marine drugs · 2019Review
- Gcorn Plant: A Database for Retrieving Functional and Evolutionary Traits of Plant Genes.Plant physiology · 2019Article
- Multilevel comparative bioinformatics to investigate evolutionary relationships and specificities in gene annotations: an example for tomato and grapevine.BMC bioinformatics · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The detection of orthologs is a key approach in genomics, useful to understand gene evolution and phylogenetic relationships and essential for gene function prediction. However, a reliable annotation of the encoded protein regions is still a limiting aspect in genomics, mainly due to the lack of confirmatory experimental evidence at proteome level. Nevertheless, the current ortholog collections are generally based on protein sequence comparisons, in addition to the availability of large transcriptome sequence collections. We developed
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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.