Evidence map›Paper›PMID 41648118›Full record

ArticlebioRxiv : the preprint server for biology2026

RLBWT-Based LCP Computation in Compressed Space for Terabase-Scale Pangenome Analysis.

Ahsan Sanaullah, Nathaniel K Brown, Pramesh Shakya, Arun Deegutla, Ardalan Naseri, Ben Langmead, Degui Zhi, Shaojie Zhang

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Ahsan SanaullahDepartment of Computer Science, University of Central Florida Orlando, Florida, 32816, United States.
Nathaniel K BrownDepartment of Computer Science, Johns Hopkins University Baltimore, Maryland, 21218, United States.ORCID 0000-0002-6201-2301
Pramesh ShakyaDepartment of Computer Science, University of Central Florida Orlando, Florida, 32816, United States.
Arun DeegutlaDepartment of Computer Science, University of Central Florida Orlando, Florida, 32816, United States.
Ardalan NaseriMcWilliams School of Biomedical Informatics University of Texas Health Science Center at Houston Houston, Texas, 77030, United States.ORCID 0000-0002-2747-2193
Ben LangmeadDepartment of Computer Science, Johns Hopkins University Baltimore, Maryland, 21218, United States.ORCID 0000-0003-2437-1976
Degui ZhiMcWilliams School of Biomedical Informatics University of Texas Health Science Center at Houston Houston, Texas, 77030, United States.ORCID 0000-0001-7754-1890
Shaojie ZhangDepartment of Computer Science, University of Central Florida Orlando, Florida, 32816, United States.ORCID 0000-0002-4051-5549

Funding

Scalable methods for identity by descentR01HG010086 · NHGRI · YALE UNIVERSITY · PI Shaojie Zhang, Degui Zhi · 2018 to 2026
$4.9M
Personal and panel references for improved alignmentR01HG011392 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI LANGMEAD, BENJAMIN THOMAS · 2020 to 2025
$4.2M
NHGRI NIH HHS R01 HG010086NHGRI NIH HHS R01 HG011392
6 · The paper itself

Abstract

Lossless full text indexes are utilized in a myriad of applications in bioinformatics. The continuously decreasing cost of generating biological data has resulted in the need to build full text indexes on biological datasets of increasing size. Many compressed full text indexes have been developed to address this problem. In particular, run-length Burrows-Wheeler transform (RLBWT) based compressed full text indexes have seen wide development and adoption. However, the construction of these RLBWT-based compressed full text indexes is still computationally expensive, sometimes prohibitively so, even for current dataset sizes. Therefore, we present algorithms for the construction of RLBWT-based compressed full text indexes and their supporting data structures in compressed space. The algorithms have a space complexity of

Indexed as

Longest Common PrefixMove Data StructureRun Length BWTTerabase Scale Pangenomics

Identifiers

PMID41648118
PMCPMC12871677

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.