ArticleCurrent genomics2016
Bioinformatics Approach in Plant Genomic Research.
Article in Current genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed, 40 citations in OpenAlex.
- Bioinformatics in crop research: using genomic data for crop improvement.Frontiers in plant science · 2026Review
- A BERT-based rice enhancer identification model combined with sequence-representation differential entropy interpretation.Frontiers in plant science · 2025Article
- Genetic Diversity and Population Structure of Chinese Chestnut (Plants (Basel, Switzerland) · 2022Article
- Xylanase Inhibitors: Defense Players in Plant Immunity with Implications in Agro-Industrial Processing.International journal of molecular sciences · 2022Review
- Plant catalase in silico characterization and phylogenetic analysis with structural modeling.Journal, genetic engineering & biotechnology · 2022Article
- An efficient chromatin immunoprecipitation (ChIP) protocol for studying histone modifications in peach reproductive tissues.Plant methods · 2022Article
- Research Tools for the Functional Genomics of Plant miRNAs During Zygotic and Somatic Embryogenesis.International journal of molecular sciences · 2020Review
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The advance in genomics technology leads to the dramatic change in plant biology research. Plant biologists now easily access to enormous genomic data to deeply study plant high-density genetic variation at molecular level. Therefore, fully understanding and well manipulating bioinformatics tools to manage and analyze these data are essential in current plant genome research. Many plant genome databases have been established and continued expanding recently. Meanwhile, analytical methods based on bioinformatics are also well developed in many aspects of plant genomic research including comparative genomic analysis, phylogenomics and evolutionary analysis, and genome-wide association study. However, constantly upgrading in computational infrastructures, such as high capacity data storage and high performing analysis software, is the real challenge for plant genome research. This review paper focuses on challenges and opportunities which knowledge and skills in bioinformatics can bring to plant scientists in present plant genomics era as well as future aspects in critical need for effective tools to facilitate the translation of knowledge from new sequencing data to enhancement of plant productivity.
Indexed as
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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.