Evidence map›Paper›PMID 36232783›Full record

ArticleInternational journal of molecular sciences2022

cPlot: Contig-Plotting Visualization for the Analysis of Short-Read Nucleotide Sequence Alignments.

Mingeun Ji, Yejin Kan, Dongyeon Kim, Jaehee Jung, Gangman Yi

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
0.1field-weighted citation impact, top 57% of its field
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, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 1 country.

Mingeun JiDepartment of Multimedia Engineering, Dongguk University, Seoul 04620, Korea.
Yejin KanDepartment of Multimedia Engineering, Dongguk University, Seoul 04620, Korea.ORCID 0000-0002-1653-7764
Dongyeon KimDepartment of Multimedia Engineering, Dongguk University, Seoul 04620, Korea.ORCID 0000-0003-4675-7909
Jaehee JungDepartment of Information and Communication Engineering, Myongji University, Yongin-si 17058, Korea.ORCID 0000-0002-0932-3039
Gangman YiDepartment of Multimedia Engineering, Dongguk University, Seoul 04620, Korea.
Dongguk University · KRMyongji University · KR

Funding

National Research Foundation of Korea NRF-2022R1F1A1061476National Research Foundation of Korea NRF-2022R1F1A1074228
6 · The paper itself

Abstract

Advances in the next-generation sequencing technology have led to a dramatic decrease in read-generation cost and an increase in read output. Reconstruction of short DNA sequence reads generated by next-generation sequencing requires a read alignment method that reconstructs a reference genome. In addition, it is essential to analyze the results of read alignments for a biologically meaningful inference. However, read alignment from vast amounts of genomic data from various organisms is challenging in that it involves repeated automatic and manual analysis steps. We, here, devised cPlot software for read alignment of nucleotide sequences, with automated read alignment and position analysis, which allows visual assessment of the analysis results by the user. cPlot compares sequence similarity of reads by performing multiple read alignments, with FASTA format files as the input. This application provides a web-based interface for the user for facile implementation, without the need for a dedicated computing environment. cPlot identifies the location and order of the sequencing reads by comparing the sequence to a genetically close reference sequence in a way that is effective for visualizing the assembly of short reads generated by NGS and rapid gene map construction.

Indexed as

High-Throughput Nucleotide SequencingSoftwareAlgorithmsBase SequenceSequence AlignmentSequence Analysis, DNAcontig plottingread alignmentsequence alignment

Identifiers

PMID36232783
PMCPMC9570162
OpenAlexW4297977895

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.