Evidence map›Paper›PMID 29444641›Full record

ArticleBMC bioinformatics2018

Oasis 2: improved online analysis of small RNA-seq data.

Raza-Ur Rahman, Abhivyakti Gautam, Jörn Bethune, Abdul Sattar, Maksims Fiosins, Daniel Sumner Magruder, Vincenzo Capece, Orr Shomroni, Stefan Bonn

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.7field-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

43 citing papers in PubMed, 87 citations in OpenAlex.

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  20. miR-196b-TLR7/8 Signaling Axis Regulates Innate Immune Signaling and Myeloid Maturation in DNMT3A-Mutant AML.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
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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 at 2 institutions in 1 country.

Raza-Ur RahmanLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Abhivyakti GautamLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Jörn BethuneLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Abdul SattarLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Maksims FiosinsLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Daniel Sumner MagruderLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Vincenzo CapeceLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Orr ShomroniLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany.
Stefan BonnLaboratory of Computational Systems Biology, German Center for Neurodegenerative Diseases, Göttingen, Germany. sbonn@uke.de.ORCID 0000-0003-4366-5662
Universität Hamburg · DEGerman Center for Neurodegenerative Diseases · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmall RNA molecules play important roles in many biological processes and their dysregulation or dysfunction can cause disease. The current method of choice for genome-wide sRNA expression profiling is deep sequencing.

resultsHere we present Oasis 2, which is a new main release of the Oasis web application for the detection, differential expression, and classification of small RNAs in deep sequencing data. Compared to its predecessor Oasis, Oasis 2 features a novel and speed-optimized sRNA detection module that supports the identification of small RNAs in any organism with higher accuracy. Next to the improved detection of small RNAs in a target organism, the software now also recognizes potential cross-species miRNAs and viral and bacterial sRNAs in infected samples. In addition, novel miRNAs can now be queried and visualized interactively, providing essential information for over 700 high-quality miRNA predictions across 14 organisms. Robust biomarker signatures can now be obtained using the novel enhanced classification module.

conclusionsOasis 2 enables biologists and medical researchers to rapidly analyze and query small RNA deep sequencing data with improved precision, recall, and speed, in an interactive and user-friendly environment. AVAILABILITY AND IMPLEMENTATION: Oasis 2 is implemented in Java, J2EE, mysql, Python, R, PHP and JavaScript. It is freely available at https://oasis.dzne.de.

Indexed as

Base SequenceGene Expression ProfilingHigh-Throughput Nucleotide SequencingMicroRNAsRNA, Small UntranslatedSequence Analysis, RNASoftwareStatistics as TopicMicroRNAsRNA, Small Untranslated

Identifiers

PMID29444641
PMCPMC5813365
OpenAlexW2952421891

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.