Evidence map›Paper›PMID 35347321›Full record

ArticleNature methods2022

CoLoRd: compressing long reads.

Marek Kokot, Adam Gudyś, Heng Li, Sebastian Deorowicz

Abstract read
In one paragraph

Article in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Evaluation of sequencing reads at scale using rdeval.Bioinformatics (Oxford, England) · 2025
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Marek KokotFaculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland.ORCID http://orcid.org/0000-0002-6420-1587
Adam GudyśFaculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland.
Heng LiDepartment of Data Sciences, Dana-Farber Cancer Institute, Boston, MA, USA. hengli@broadinstitute.org.ORCID http://orcid.org/0000-0003-4874-2874
Sebastian DeorowiczFaculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, Gliwice, Poland. sebastian.deorowicz@polsl.pl.ORCID http://orcid.org/0000-0002-9496-733X

Funding

The WashU-UCSC-EBI Human Genome Reference Center."U41HG010972 · NHGRI · WASHINGTON UNIVERSITY · PI Ting Wang · 2019 to 2026
$24.9M
ELSI Administrative Supplement - Center for Human Reference Genome DiversityU01HG010971 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI EICHLER, EVAN, JARVIS, ERICH D · 2019 to 2023
$18.4M
Advanced computational methods in analyzing high-throughput sequencing dataR01HG010040 · NHGRI · DANA-FARBER CANCER INST · PI Heng Li · 2018 to 2026
$3.7M
NHGRI NIH HHS R01 HG010040NHGRI NIH HHS U01 HG010971NHGRI NIH HHS U41 HG010972
6 · The paper itself

Abstract

The cost of maintaining exabytes of data produced by sequencing experiments every year has become a major issue in today's genomic research. In spite of the increasing popularity of third-generation sequencing, the existing algorithms for compressing long reads exhibit a minor advantage over the general-purpose gzip. We present CoLoRd, an algorithm able to reduce the size of third-generation sequencing data by an order of magnitude without affecting the accuracy of downstream analyses.

Indexed as

GenomicsHigh-Throughput Nucleotide SequencingAlgorithmsGenomeSequence Analysis, DNASoftware

Identifiers

PMID35347321
PMCPMC9337911

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.