Evidence map›Paper›PMID 40037839›Full record

ArticleGenome research2025

RAmbler resolves complex repeats in human Chromosomes 8, 19, and X.

Sakshar Chakravarty, Glennis Logsdon, Stefano Lonardi

Abstract read
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Evaluating genome assemblies with HMM-Flagger.bioRxiv : the preprint server for biology · 2026
    Article
  2. 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

3 authors.

Sakshar ChakravartyDepartment of Computer Science and Engineering, University of California, Riverside, California 92521, USA.
Glennis LogsdonDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19103, USA.
Stefano LonardiDepartment of Computer Science and Engineering, University of California, Riverside, California 92521, USA; stelo@cs.ucr.edu.ORCID 0000-0002-2696-7274

Funding

Rapid response for pandemics: single cell sequencing and deep learning to predict antibody sequences against an emerging antigenR01AI169543 · NIAID · KECK GRADUATE INST OF APPLIED LIFE SCIS · PI HERNANDEZ, JENIFFER BERTHA, LONARDI, STEFANO · 2021 to 2023
$3.1M
NIAID NIH HHS R01 AI169543
6 · The paper itself

Abstract

Repetitive regions in eukaryotic genomes often contain important functional or regulatory elements. Despite significant algorithmic and technological advancements in genome sequencing and assembly over the past three decades, modern de novo assemblers still struggle to accurately reconstruct highly repetitive regions. In this work, we introduce RAmbler (Repeat Assembler), a reference-guided assembler specialized for the assembly of complex repetitive regions exclusively from Pacific Biosciences (PacBio) HiFi reads. RAmbler (1) identifies repetitive regions by detecting unusually high coverage regions after mapping HiFi reads to the draft genome assembly, (2) finds single-copy

Indexed as

Chromosomes, HumanChromosomes, Human, Pair 19Chromosomes, Human, XRepetitive Sequences, Nucleic AcidSoftwareAlgorithmsContig MappingGenome, HumanHumansSequence Analysis, DNA

Identifiers

PMID40037839
PMCPMC12047272

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.