ReviewBioMed research international2015
Trends in IT Innovation to Build a Next Generation Bioinformatics Solution to Manage and Analyse Biological Big Data Produced by NGS Technologies.
Review in BioMed research international, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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.
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
13 citing papers in PubMed.
- Review of open-source software for developing heterogeneous data management systems for bioinformatics applications.Bioinformatics advances · 2025Review
- Linear epitope mapping of the humoral response against SARS-CoV-2 in two independent African cohorts.Scientific reports · 2023Article
- JSONWP: a static website generator for protein bioinformatics research.Bioinformatics advances · 2023Article
- Social innovation for life expectancy extension utilizing a platform-centered system used in the Iwaki health promotion project: A protocol paper.SAGE open medicine · 2021Article
- Machine Learning Assisted Cervical Cancer Detection.Frontiers in public health · 2021Article
- Bioinformatics in Germany: toward a national-level infrastructure.Briefings in bioinformatics · 2019Article
- Bioinformatics Workflows With NoSQL Database in Cloud Computing.Evolutionary bioinformatics online · 2019Article
- AFLP-AFLP in silico-NGS approach reveals polymorphisms in repetitive elements in the malignant genome.PloS one · 2018Article
- Spfy: an integrated graph database for real-time prediction of bacterial phenotypes and downstream comparative analyses.Database : the journal of biological databases and curation · 2018Article
- Draft Genome Sequence of Yarrowia lipolytica Strain A-101 Isolated from Polluted Soil in Poland.Genome announcements · 2016Article
- Vaccinology in the third millennium: scientific and social challenges.Current opinion in virology · 2016Review
- Molecular Pathology and Personalized Medicine: The Dawn of a New Era in Companion Diagnostics-Practical Considerations about Companion Diagnostics for Non-Small-Cell-Lung-Cancer.Journal of personalized medicine · 2016Review
- miTALOS v2: Analyzing Tissue Specific microRNA Function.PloS one · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sequencing the human genome began in 1994, and 10 years of work were necessary in order to provide a nearly complete sequence. Nowadays, NGS technologies allow sequencing of a whole human genome in a few days. This deluge of data challenges scientists in many ways, as they are faced with data management issues and analysis and visualization drawbacks due to the limitations of current bioinformatics tools. In this paper, we describe how the NGS Big Data revolution changes the way of managing and analysing data. We present how biologists are confronted with abundance of methods, tools, and data formats. To overcome these problems, focus on Big Data Information Technology innovations from web and business intelligence. We underline the interest of NoSQL databases, which are much more efficient than relational databases. Since Big Data leads to the loss of interactivity with data during analysis due to high processing time, we describe solutions from the Business Intelligence that allow one to regain interactivity whatever the volume of data is. We illustrate this point with a focus on the Amadea platform. Finally, we discuss visualization challenges posed by Big Data and present the latest innovations with JavaScript graphic libraries.
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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.