Evidence map›Paper›PMID 34778549›Full record

ArticleProceedings. Data Compression Conference2021

PHONI: Streamed Matching Statistics with Multi-Genome References.

Christina Boucher, Travis Gagie, I Tomohiro, Dominik Köppl, Ben Langmead, Giovanni Manzini, Gonzalo Navarro, Alejandro Pacheco, Massimiliano Rossi

Abstract read
In one paragraph

Article in Proceedings. Data Compression Conference, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Bounding the Average Move Structure Query for Faster and Smaller RLBWT Permutations.LIPIcs : Leibniz international proceedings in informatics · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Generating multiple alignments on a pangenomic scale.Bioinformatics (Oxford, England) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Augmented Thresholds for MONI.Proceedings. Data Compression Conference · 2023
    Article
  12. An Upper Bound and Linear-Space Queries on the LZ-End Parsing.Proceedings of the ... Annual ACM-SIAM Symposium on Discrete Algorithms. ACM-SIAM Symposium on Discrete Algorithms · 2022
    Article
  13. Fast and Space-Efficient Construction of AVL Grammars from the LZ77 Parsing.LIPIcs : Leibniz international proceedings in informatics · 2021
    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

9 authors.

Christina BoucherU Florida Gainesville, USA.
Travis GagieDalhousie U Halifax, Canada.
I TomohiroKyutech Fukuoka, Japan.
Dominik KöpplTMDU Tokyo, Japan.
Ben LangmeadJohns Hopkins U Baltimore, USA.
Giovanni ManziniU Piemonte Orientale Alessandria, Italy.
Gonzalo NavarroCeBiB, DCC, U Chile Santiago, Chile.
Alejandro PachecoCeBiB, DCC, U Chile Santiago, Chile.
Massimiliano RossiU Florida Gainesville, USA.

Funding

Personal and panel references for improved alignmentR01HG011392 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2020 to 2025
$4.2M
Developing Computational Methods for Surveillance of Antimicrobial Resistant AgentsR01AI141810 · NIAID · UNIVERSITY OF FLORIDA · PI BOUCHER, CHRISTINA, PROSPERI, MATTIA · 2019 to 2023
$2.1M
NHGRI NIH HHS R01 HG011392NIAID NIH HHS R01 AI141810
6 · The paper itself

Abstract

Computing the matching statistics of patterns with respect to a text is a fundamental task in bioinformatics, but a formidable one when the text is a highly compressed genomic database. Bannai et al. gave an efficient solution for this case, which Rossi et al. recently implemented, but it uses two passes over the patterns and buffers a pointer for each character during the first pass. In this paper, we simplify their solution and make it streaming, at the cost of slowing it down slightly. This means that, first, we can compute the matching statistics of several long patterns (such as whole human chromosomes) in parallel while still using a reasonable amount of RAM; second, we can compute matching statistics online with low latency and thus quickly recognize when a pattern becomes incompressible relative to the database. Our code is available at https://github.com/koeppl/phoni.

Identifiers

PMID34778549
PMCPMC8583545

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.