Evidence map›Paper›PMID 37628698›Full record

ArticleGenes2023

StrainIQ: A Novel

Sanjit Pandey, Nagavardhini Avuthu, Chittibabu Guda

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genes, 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. Review
  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.

Sanjit PandeyDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA.
Nagavardhini AvuthuDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0009-0005-3942-4075
Chittibabu GudaDepartment of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE 68198, USA.ORCID 0000-0002-5393-9316

Funding

UNMC Structural Biology CoreP20GM103427 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI PAUL L SORGEN · 2012 to 2026
$59.2M
UNMC/EPPLEY CANCER CENTER SUPPORT GRANTP30CA036727 · NCI · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI Joann B. Sweasy · 1985 to 2026
$55.0M
Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI GUDA, CHITTIBABU · 2016 to 2025
$42.8M
NCI NIH HHS P30 CA036727NIGMS NIH HHS P20 GM103427NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

The emergence of next-generation sequencing (NGS) technology has greatly influenced microbiome research and led to the development of novel bioinformatics tools to deeply analyze metagenomics datasets. Identifying strain-level variations in microbial communities is important to understanding the onset and progression of diseases, host-pathogen interrelationships, and drug resistance, in addition to designing new therapeutic regimens. In this study, we developed a novel tool called StrainIQ (strain identification and quantification) based on a new

Indexed as

MicrobiotaAlgorithmsComputational BiologyHigh-Throughput Nucleotide SequencingHumansMetagenomeDSEMmetagenomicsmicrobiotan-gramssite-specificStrainIQstrain-level

Identifiers

PMID37628698
PMCPMC10454763

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.