Evidence map›Paper›PMID 38666213›Full record

ArticleNAR genomics and bioinformatics2024

Scalable and efficient DNA sequencing analysis on different compute infrastructures aiding variant discovery.

Friederike Hanssen, Maxime U Garcia, Lasse Folkersen, Anders Sune Pedersen, Francesco Lescai, Susanne Jodoin, Edmund Miller, Matthias Seybold, Oskar Wacker, Nicholas Smith and 2 more

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

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2 more citing papers are in PubMed but not listed here.

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

12 authors.

Friederike HanssenQuantitative Biology Center, Eberhard-Karls University of Tübingen, Otfried-Müller Str. 37, Tübingen 72076, Baden-Württemberg, Germany.ORCID https://orcid.org/0009-0001-9875-5262
Maxime U GarciaSeqera Labs, Carrer de Marià Aguilò, 28, Barcelona 08005, Spain.ORCID https://orcid.org/0000-0003-2827-9261
Lasse FolkersenNucleus Genomics, 584 Broadway, New York, 10012 NY, USA.ORCID https://orcid.org/0000-0003-0708-9530
Anders Sune PedersenNational Genome Center Denmark, Ørestads Boulevard 5, Copenhagen 2300, Denmark.ORCID https://orcid.org/0009-0008-1112-841X
Francesco LescaiDepartment of Biology and Biotechnology "L. Spallanzani", University of Pavia, via Ferrata, 9, Pavia, 27100 PV, Italy.ORCID https://orcid.org/0000-0002-6399-9101
Susanne JodoinQuantitative Biology Center, Eberhard-Karls University of Tübingen, Otfried-Müller Str. 37, Tübingen 72076, Baden-Württemberg, Germany.ORCID https://orcid.org/0009-0001-9152-7291
Edmund MillerDepartment of Biological Sciences and Center for Systems Biology, University of Texas at Dallas, 800 W Campbell Rd, Richardson, TX 75080, USA.ORCID https://orcid.org/0000-0002-2398-0334
Matthias SeyboldQuantitative Biology Center, Eberhard-Karls University of Tübingen, Otfried-Müller Str. 37, Tübingen 72076, Baden-Württemberg, Germany.ORCID https://orcid.org/0009-0001-2717-9667
Oskar WackerQuantitative Biology Center, Eberhard-Karls University of Tübingen, Otfried-Müller Str. 37, Tübingen 72076, Baden-Württemberg, Germany.ORCID https://orcid.org/0009-0003-2041-610X
Nicholas SmithDepartment of Informatics, Technical University of Munich, Boltzmannstr. 3, Garching, 85748 Bavaria, Germany.ORCID https://orcid.org/0009-0008-0026-0757
Gisela GabernetQuantitative Biology Center, Eberhard-Karls University of Tübingen, Otfried-Müller Str. 37, Tübingen 72076, Baden-Württemberg, Germany.ORCID https://orcid.org/0000-0001-7049-9474
Sven NahnsenQuantitative Biology Center, Eberhard-Karls University of Tübingen, Otfried-Müller Str. 37, Tübingen 72076, Baden-Württemberg, Germany.ORCID https://orcid.org/0000-0002-4375-0691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA variation analysis has become indispensable in many aspects of modern biomedicine, most prominently in the comparison of normal and tumor samples. Thousands of samples are collected in local sequencing efforts and public databases requiring highly scalable, portable, and automated workflows for streamlined processing. Here, we present nf-core/sarek 3, a well-established, comprehensive variant calling and annotation pipeline for germline and somatic samples. It is suitable for any genome with a known reference. We present a full rewrite of the original pipeline showing a significant reduction of storage requirements by using the CRAM format and runtime by increasing intra-sample parallelization. Both are leading to a 70% cost reduction in commercial clouds enabling users to do large-scale and cross-platform data analysis while keeping costs and CO

Identifiers

PMID38666213
PMCPMC11044436

What OpenQuestion holds

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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.