ArticleResearch in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- )2014
Traversing the
Article in Research in computational molecular biology : ... Annual International Conference, RECOMB ... : proceedings. RECOMB (Conference : 2005- ), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Genomic evolution of SARS-CoV-2 delta variants pre- and post-omicron emergence using alignment-free machine learning models.PloS one · 2026Article
- PQSDC: a parallel lossless compressor for quality scores data via sequences partition and run-length prediction mapping.Bioinformatics (Oxford, England) · 2024Article
- Better quality score compression through sequence-based quality smoothing.BMC bioinformatics · 2019Article
- Improving Bloom Filter Performance on Sequence Data Using k-mer Bloom Filters.Journal of computational biology : a journal of computational molecular cell biology · 2017Article
- Effect of lossy compression of quality scores on variant calling.Briefings in bioinformatics · 2017Article
- QVZ: lossy compression of quality values.Bioinformatics (Oxford, England) · 2015Article
- Reference-free compression of high throughput sequencing data with a probabilistic de Bruijn graph.BMC bioinformatics · 2015Article
- Reference-based compression of short-read sequences using path encoding.Bioinformatics (Oxford, England) · 2015Article
- Quality score compression improves genotyping accuracy.Nature biotechnology · 2015Article
- Denoising of Quality Scores for Boosted Inference and Reduced Storage.Proceedings. Data Compression ConferenceArticle
- A cluster-based approach to compression of Quality Scores.Proceedings. Data Compression ConferenceArticle
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 is becoming increasingly impractical to indefinitely store raw sequencing data for later processing in an uncompressed state. In this paper, we describe a scalable compressive framework, Read-Quality-Sparsifier (RQS), which substantially outperforms the compression ratio and speed of other de novo quality score compression methods while maintaining SNP-calling accuracy. Surprisingly, RQS also improves the SNP-calling accuracy on a gold-standard, real-life sequencing dataset (NA12878) using a AVAILABILITY: An implementation of our method, RQS, is available for download at: http://rqs.csail.mit.edu/.
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.