ArticleNature biotechnology2008
What would you do if you could sequence everything?
Article in Nature biotechnology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 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
84 citing papers in PubMed.
- Highly-accurate prediction of colorectal cancer through low abundance uncultivated genomes recovered using metagenomic co-assembly and binning approach.BMC cancer · 2025Article
- Potential of Sivelestat for Pulmonary Arterial Hypertension Treatment: Network Pharmacology-Based Target Identification and Mechanistic Exploration.Drug design, development and therapy · 2025Article
- Nucleic acid-based drugs for patients with solid tumours.Nature reviews. Clinical oncology · 2024Review
- Identification of Novel Genes Associated with Partial Resistance to Aphanomyces Root Rot in Field Pea by BSR-Seq Analysis.International journal of molecular sciences · 2022Article
- Multiple Variant Calling Pipelines in Wheat Whole Exome Sequencing.International journal of molecular sciences · 2021Article
- Using mechanistic models for the clinical interpretation of complex genomic variation.Scientific reports · 2019Article
- Using Large Datasets to Understand Nanotechnology.Advanced materials (Deerfield Beach, Fla.) · 2019Review
- A comparison of mechanistic signaling pathway activity analysis methods.Briefings in bioinformatics · 2019Review
- Exploring the druggable space around the Fanconi anemia pathway using machine learning and mechanistic models.BMC bioinformatics · 2019Article
- Performance assessment of variant calling pipelines using human whole exome sequencing and simulated data.BMC bioinformatics · 2019Article
- Designed and Evolved Nucleic Acid Nanotechnology: Contrast and Complementarity.Bioconjugate chemistry · 2019Review
- SMARTcleaner: identify and clean off-target signals in SMART ChIP-seq analysis.BMC bioinformatics · 2018Article
- Quantitative analysis of DNA with single-molecule sequencing.Scientific reports · 2018Article
- Molecular dysexpression in gastric cancer revealed by integrated analysis of transcriptome data.Oncology letters · 2017Article
- Transcriptome analysis reveals the complexity of alternative splicing regulation in the fungus Verticillium dahliae.BMC genomics · 2017Article
- Tumor suppressor genes in familial adenomatous polyposis.Gastroenterology and hepatology from bed to bench · 2017Review
- Capturing Darwin's dream.Molecular ecology resources · 2016Article
- Acousto-microfluidics for screening of ssDNA aptamer.Scientific reports · 2016Article
- High-Quality Exome Sequencing of Whole-Genome Amplified Neonatal Dried Blood Spot DNA.PloS one · 2016Article
- Transcriptomic Sequencing Reveals a Set of Unique Genes Activated by Butyrate-Induced Histone Modification.Gene regulation and systems biology · 2016Article
24 more citing papers are in PubMed but not listed here.
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
Abstract
It could be argued that the greatest transformative aspect of the Human Genome Project has been not the sequencing of the genome itself, but the resultant development of new technologies. A host of new approaches has fundamentally changed the way we approach problems in basic and translational research. Now, a new generation of high-throughput sequencing technologies promises to again transform the scientific enterprise, potentially supplanting array-based technologies and opening up many new possibilities. By allowing DNA/RNA to be assayed more rapidly than previously possible, these next-generation platforms promise a deeper understanding of genome regulation and biology. Significantly enhancing sequencing throughput will allow us to follow the evolution of viral and bacterial resistance in real time, to uncover the huge diversity of novel genes that are currently inaccessible, to understand nucleic acid therapeutics, to better integrate biological information for a complete picture of health and disease at a personalized level and to move to advances that we cannot yet imagine.
Indexed as
Identifiers
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.