Evidence map›Paper›PMID 42680980›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Metabolomics Data Analysis with the HMDB.

Yamilé López-Hernández, Prashanthi Kovur, David S Wishart

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 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

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.

Yamilé López-HernándezDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
Prashanthi KovurDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada.
David S WishartDepartment of Biological Sciences, University of Alberta, Edmonton, AB, Canada. dwishart@ualberta.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Human Metabolome Database (HMDB) is a web-based resource that supports metabolite identification and interpretation for human studies. This chapter outlines five protocols: (1) identifying metabolites using mass spectrometry with retention time or collision cross-section data (MS-RT/CCS); (2) identifying metabolites using tandem mass spectrometry (MS/MS); (3) identifying metabolites using nuclear magnetic resonance (NMR); (4) comparing measured concentrations to HMDB reference values; and (5) interpreting metabolomics results via HMDB's MetaboCards and PathBank links.

Indexed as

Databases, FactualMetabolomeMetabolomicsData AnalysisHumansMagnetic Resonance SpectroscopySoftwareTandem Mass SpectrometryData analysisDatabaseDiseaseHumanMetabolomics

Identifiers

PMID42680980

What OpenQuestion holds

Textmetadata
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.