Evidence map›Paper›PMID 38045531›Full record

ArticleACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine2023

On

Xiang Li, Mingfu Shao

Abstract read
In one paragraph

Article in ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2023. 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. Anchorage accurately assembles anchor-flanked synthetic long reads.Algorithms for molecular biology : AMB · 2025
    Article
  2. Anchorage Accurately Assembles Anchor-Flanked Synthetic Long Reads.Algorithms in bioinformatics : ... International Workshop, WABI ..., proceedings. WABI (Workshop) · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Xiang LiDepartment of Computer Science and Engineering, The Pennsylvania State University, University Park, Pennsylvania, USA.
Mingfu ShaoDepartment of Computer Science and Engineering, Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.

Funding

Computational Methods for Assembling Multiple RNA-seq SamplesR01HG011065 · NHGRI · PENNSYLVANIA STATE UNIVERSITY, THE · PI SHAO, MINGFU · 2021 to 2025
$1.8M
NHGRI NIH HHS R01 HG011065
6 · The paper itself

Abstract

The high-throughput short-reads RNA-seq protocols often produce paired-end reads, with the middle portion of the fragments being unsequenced. We explore if the full-length fragments can be computationally reconstructed from the sequenced two ends in the absence of the reference genome-a problem here we refer to as

Indexed as

alternative splicingde Bruijn graphde novo bridgingRNA-seqtranscript assembly

Identifiers

PMID38045531
PMCPMC10692976

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.