ArticlePLoS computational biology2020
Ten simple rules for providing effective bioinformatics research support.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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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
17 citing papers in PubMed.
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- In-silico screening and analysis of missense SNPs in human CYP3A4/5 affecting drug-enzyme interactions of FDA-approved COVID-19 antiviral drugs.Scientific reports · 2025Article
- Competencies for bioinformatics core facility scientists: extension of the ISCB competency framework for bioinformatics.Bioinformatics advances · 2025Article
- VueGen: automating the generation of scientific reports.Bioinformatics advances · 2025Article
- Snowflake Data Warehouse for Large-Scale and Diverse Biological Data Management and Analysis.Genes · 2024Review
- Bioinformatics in Neonatal/Pediatric Medicine-A Literature Review.Journal of personalized medicine · 2024Review
- Ten simple rules for computational biologists collaborating with wet lab researchers.PLoS computational biology · 2024Article
- Developing partnerships for academic data science consulting and collaboration units.Stat (International Statistical Institute) · 2024Article
- A bioinformatics approach towards bronchopulmonary dysplasia.Translational pediatrics · 2023Review
- Ten simple rules for providing bioinformatics support within a hospital.BioData mining · 2023Article
- Ten simple rules for using public biological data for your research.PLoS computational biology · 2023Article
- Ten simple rules for developing bioinformatics capacity at an academic institution.PLoS computational biology · 2021Article
- The early bird gets the return: The benefits of publishing your data sooner.Ecology and evolution · 2021Article
- A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research.International journal of molecular sciences · 2021Review
- Ten simple rules for running and managing virtual internships.PLoS computational biology · 2021Article
- Ten simple rules for getting started with command-line bioinformatics.PLoS computational biology · 2021Article
- Haemoprotozoan surveillance in peri-urban native and introduced wildlife from Australia.Current research in parasitology & vector-borne diseases · 2021Article
Corrections and comments
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Authors and funding
13 authors.
Funding
Abstract
Life scientists are increasingly turning to high-throughput sequencing technologies in their research programs, owing to the enormous potential of these methods. In a parallel manner, the number of core facilities that provide bioinformatics support are also increasing. Notably, the generation of complex large datasets has necessitated the development of bioinformatics support core facilities that aid laboratory scientists with cost-effective and efficient data management, analysis, and interpretation. In this article, we address the challenges-related to communication, good laboratory practice, and data handling-that may be encountered in core support facilities when providing bioinformatics support, drawing on our own experiences working as support bioinformaticians on multidisciplinary research projects. Most importantly, the article proposes a list of guidelines that outline how these challenges can be preemptively avoided and effectively managed to increase the value of outputs to the end user, covering the entire research project lifecycle, including experimental design, data analysis, and management (i.e., sharing and storage). In addition, we highlight the importance of clear and transparent communication, comprehensive preparation, appropriate handling of samples and data using monitoring systems, and the employment of appropriate tools and standard operating procedures to provide effective bioinformatics support.
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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.