ArticleGigaScience2012
The future of DNA sequence archiving.
Article in GigaScience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Towards standardization in pig microbiome research based on a comprehensive twenty-year review.Animal microbiome · 2026Review
- Best practices for genetic and genomic data archiving.Nature ecology & evolution · 2024Review
- FCLQC: fast and concurrent lossless quality scores compressor.BMC bioinformatics · 2021Article
- Calculating the quality of public high-throughput sequencing data to obtain a suitable subset for reanalysis from the Sequence Read Archive.GigaScience · 2017Article
- Recommendations on e-infrastructures for next-generation sequencing.GigaScience · 2016Review
- elPrep: High-Performance Preparation of Sequence Alignment/Map Files for Variant Calling.PloS one · 2015Article
- Assembly information services in the European Nucleotide Archive.Nucleic acids research · 2014Article
- Data compression for sequencing data.Algorithms for molecular biology : AMB · 2013Article
- Lessons learned from implementing a national infrastructure in Sweden for storage and analysis of next-generation sequencing data.GigaScience · 2013Article
- QualComp: a new lossy compressor for quality scores based on rate distortion theory.BMC bioinformatics · 2013Article
- A decadal view of biodiversity informatics: challenges and priorities.BMC ecology · 2013Review
- Biggest challenges in bioinformatics.EMBO reports · 2013Article
- Facing growth in the European Nucleotide Archive.Nucleic acids research · 2013Article
- Compression of FASTQ and SAM format sequencing data.PloS one · 2013Article
- Large and linked in scientific publishing.GigaScience · 2012Article
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
No grant is acknowledged in the PubMed record.
Abstract
Archives operating under the International Nucleotide Sequence Database Collaboration currently preserve all submitted sequences equally, but rapid increases in the rate of global sequence production will soon require differentiated treatment of DNA sequences submitted for archiving. Here, we propose a graded system in which the ease of reproduction of a sequencing-based experiment and the relative availability of a sample for resequencing define the level of lossy compression applied to stored data.
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.