Evidence map›Paper›PMID 37258301›Full record

ArticleGenome research2023

Efficient taxa identification using a pangenome index.

Omar Ahmed, Massimiliano Rossi, Christina Boucher, Ben Langmead

Abstract read
In one paragraph

Article in Genome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Mem-based pangenome indexing for k-mer queries.Algorithms for molecular biology : AMB · 2025
    Article
  4. Article
  5. MEM-based pangenome indexing forbioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Movi: a fast and cache-efficient full-text pangenome index.bioRxiv : the preprint server for biology · 2024
    Article
  8. Article
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.

Omar AhmedDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA; oahmed6@jhu.edu omaryfekry@gmail.com.
Massimiliano RossiDepartment of Computer and Information Science and Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, Florida 32611, USA.
Christina BoucherDepartment of Computer and Information Science and Engineering, Herbert Wertheim College of Engineering, University of Florida, Gainesville, Florida 32611, USA.
Ben LangmeadDepartment of Computer Science, Johns Hopkins University, Baltimore, Maryland 21218, USA.ORCID 0000-0003-2437-1976

Funding

Methods for sequencing data analysis and archive-scale data science - RenewalR35GM139602 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI Benjamin Thomas Langmead · 2021 to 2026
$5.0M
Personal and panel references for improved alignmentR01HG011392 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2020 to 2025
$4.2M
Pre-Doctoral Training Program in Computational MedicineT32GM119998 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI MAC GABHANN, FEILIM C · 2017 to 2021
$1.5M
NHGRI NIH HHS R01 HG011392NIGMS NIH HHS R35 GM139602NIGMS NIH HHS T32 GM119998
6 · The paper itself

Abstract

Tools that classify sequencing reads against a database of reference sequences require efficient index data-structures. The

Indexed as

AlgorithmsBacteriaSequence Analysis

Identifiers

PMID37258301
PMCPMC10538492

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.