Evidence map›Paper›PMID 37264447›Full record

ReviewGenome biology2023

A survey of mapping algorithms in the long-reads era.

Kristoffer Sahlin, Thomas Baudeau, Bastien Cazaux, Camille Marchet

Abstract readReview
In one paragraph

Review in Genome biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  18. Panaln: indexing pangenome for read alignment.Bioinformatics (Oxford, England) · 2025
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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.

Kristoffer SahlinDepartment of Mathematics, Science for Life Laboratory, Stockholm University, 106 91, Stockholm, Sweden. ksahlin@math.su.se.
Thomas BaudeauUniv. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000, Lille, France.
Bastien CazauxUniv. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000, Lille, France.
Camille MarchetUniv. Lille, CNRS, Centrale Lille, UMR 9189 CRIStAL, F-59000, Lille, France. marchetcamille@gmail.com.ORCID 0000-0002-7235-7346

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been over a decade since the first publication of a method dedicated entirely to mapping long-reads. The distinctive characteristics of long reads resulted in methods moving from the seed-and-extend framework used for short reads to a seed-and-chain framework due to the seed abundance in each read. The main novelties are based on alternative seed constructs or chaining formulations. Dozens of tools now exist, whose heuristics have evolved considerably. We provide an overview of the methods used in long-read mappers. Since they are driven by implementation-specific parameters, we develop an original visualization tool to understand the parameter settings ( http://bcazaux.polytech-lille.net/Minimap2/ ).

Indexed as

High-Throughput Nucleotide SequencingSoftwareAlgorithmsSequence Analysis, DNA

Identifiers

PMID37264447
PMCPMC10236595

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.