Evidence map›Paper›PMID 16990247›Full record

ArticleNucleic acids research2006

snoSeeker: an advanced computational package for screening of guide and orphan snoRNA genes in the human genome.

Jian-Hua Yang, Xiao-Chen Zhang, Zhan-Peng Huang, Hui Zhou, Mian-Bo Huang, Shu Zhang, Yue-Qin Chen, Liang-Hu Qu

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Nucleic acids research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed
4.2field-weighted citation impact, top 5% 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

73 citing papers in PubMed, 123 citations in OpenAlex.

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  17. Functional diversity of small nucleolar RNAs.Nucleic acids research · 2020
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13 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

8 authors at 1 institution in 1 country.

Jian-Hua YangKey Laboratory of Gene Engineering of the Ministry of Education, Zhongshan University, Guangzhou 510275, PR China.
Xiao-Chen Zhang
Zhan-Peng Huang
Hui Zhou
Mian-Bo Huang
Shu Zhang
Yue-Qin Chen
Liang-Hu Qu
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small nucleolar RNAs (snoRNAs) represent an abundant group of non-coding RNAs in eukaryotes. They can be divided into guide and orphan snoRNAs according to the presence or absence of antisense sequence to rRNAs or snRNAs. Current snoRNA-searching programs, which are essentially based on sequence complementarity to rRNAs or snRNAs, exist only for the screening of guide snoRNAs. In this study, we have developed an advanced computational package, snoSeeker, which includes CDseeker and ACAseeker programs, for the highly efficient and specific screening of both guide and orphan snoRNA genes in mammalian genomes. By using these programs, we have systematically scanned four human-mammal whole-genome alignment (WGA) sequences and identified 54 novel candidates including 26 orphan candidates as well as 266 known snoRNA genes. Eighteen novel snoRNAs were further experimentally confirmed with four snoRNAs exhibiting a tissue-specific or restricted expression pattern. The results of this study provide the most comprehensive listing of two families of snoRNA genes in the human genome till date.

Indexed as

Genome, HumanSoftwareAlgorithmsAnimalsCattleComputational BiologyDogsGene ExpressionGenomicsHumansMiceRatsRNA, Small NucleolarRNA, Small UntranslatedRNA, Small NucleolarRNA, Small Untranslated

Identifiers

PMID16990247
PMCPMC1636440
OpenAlexW2025605104

What OpenQuestion holds

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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.