Evidence map›Paper›PMID 30053267›Full record

ArticleNucleic acids research2018

dbCAN-seq: a database of carbohydrate-active enzyme (CAZyme) sequence and annotation.

Le Huang, Han Zhang, Peizhi Wu, Sarah Entwistle, Xueqiong Li, Tanner Yohe, Haidong Yi, Zhenglu Yang, Yanbin Yin

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 172 papers.

0numbers the graph read from it
0cells of the map it votes in
172citing 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

172 citing papers in PubMed.

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  16. Comparative Genomic and Functional Profiling of ECM-Targeting Enzymes inbioRxiv : the preprint server for biology · 2026
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112 more citing papers are in PubMed but not listed here.

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

9 authors.

Le HuangCollege of Computer and Control Engineering, Nankai University, Tianjin, China.
Han ZhangCollege of Computer and Control Engineering, Nankai University, Tianjin, China.
Peizhi WuCollege of Computer and Control Engineering, Nankai University, Tianjin, China.
Sarah EntwistleDepartment of Biological Sciences, Northern Illinois University, DeKalb, IL, USA.
Xueqiong LiDepartment of Biological Sciences, Northern Illinois University, DeKalb, IL, USA.
Tanner YoheDepartment of Computer Science, Northern Illinois University, DeKalb, IL, USA.
Haidong YiCollege of Computer and Control Engineering, Nankai University, Tianjin, China.
Zhenglu YangCollege of Computer and Control Engineering, Nankai University, Tianjin, China.
Yanbin YinDepartment of Biological Sciences, Northern Illinois University, DeKalb, IL, USA.

Funding

Orphan genes in pathogenic bacteriaR15GM114706 · NIGMS · NORTHERN ILLINOIS UNIVERSITY · PI YIN, YANBIN · 2015 to 2015
$373k
NIGMS NIH HHS R15 GM114706
6 · The paper itself

Abstract

Carbohydrate-active enzyme (CAZymes) are not only the most important enzymes for bioenergy and agricultural industries, but also very important for human health, in that human gut microbiota encode hundreds of CAZyme genes in their genomes for degrading various dietary and host carbohydrates. We have built an online database dbCAN-seq (http://cys.bios.niu.edu/dbCAN_seq) to provide pre-computed CAZyme sequence and annotation data for 5,349 bacterial genomes. Compared to the other CAZyme resources, dbCAN-seq has the following new features: (i) a convenient download page to allow batch download of all the sequence and annotation data; (ii) an annotation page for every CAZyme to provide the most comprehensive annotation data; (iii) a metadata page to organize the bacterial genomes according to species metadata such as disease, habitat, oxygen requirement, temperature, metabolism; (iv) a very fast tool to identify physically linked CAZyme gene clusters (CGCs) and (v) a powerful search function to allow fast and efficient data query. With these unique utilities, dbCAN-seq will become a valuable web resource for CAZyme research, with a focus complementary to dbCAN (automated CAZyme annotation server) and CAZy (CAZyme family classification and reference database).

Indexed as

Databases, GeneticGenome, BacterialArabidopsisAspergillus oryzaeBacterial ProteinsBacteroides thetaiotaomicronBase SequenceBiotransformationCarbohydratesEscherichia coliGastrointestinal MicrobiomeHumansInternetMetabolic Networks and PathwaysMolecular Sequence AnnotationMultigene FamilyBacterial ProteinsCarbohydrates

Identifiers

PMID30053267
PMCPMC5753378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

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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.