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Behl T, Kaur I, Sehgal A, Singh S, Bhatia S, Al-Harrasi A, Zengin G, Babes EE, Brisc C, Stoicescu M, Toma MM, Sava C, Bungau SG. Bioinformatics Accelerates the Major Tetrad: A Real Boost for the Pharmaceutical Industry. Int J Mol Sci 2021; 22:6184. [PMID: 34201152 PMCID: PMC8227524 DOI: 10.3390/ijms22126184] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Revised: 06/03/2021] [Accepted: 06/05/2021] [Indexed: 02/01/2023] Open
Abstract
With advanced technology and its development, bioinformatics is one of the avant-garde fields that has managed to make amazing progress in the pharmaceutical-medical field by modeling the infrastructural dimensions of healthcare and integrating computing tools in drug innovation, facilitating prevention, detection/more accurate diagnosis, and treatment of disorders, while saving time and money. By association, bioinformatics and pharmacovigilance promoted both sample analyzes and interpretation of drug side effects, also focusing on drug discovery and development (DDD), in which systems biology, a personalized approach, and drug repositioning were considered together with translational medicine. The role of bioinformatics has been highlighted in DDD, proteomics, genetics, modeling, miRNA discovery and assessment, and clinical genome sequencing. The authors have collated significant data from the most known online databases and publishers, also narrowing the diversified applications, in order to target four major areas (tetrad): DDD, anti-microbial research, genomic sequencing, and miRNA research and its significance in the management of current pandemic context. Our analysis aims to provide optimal data in the field by stratification of the information related to the published data in key sectors and to capture the attention of researchers interested in bioinformatics, a field that has succeeded in advancing the healthcare paradigm by introducing developing techniques and multiple database platforms, addressed in the manuscript.
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Affiliation(s)
- Tapan Behl
- Department of Pharmacology, Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (I.K.); (A.S.); (S.S.)
| | - Ishnoor Kaur
- Department of Pharmacology, Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (I.K.); (A.S.); (S.S.)
| | - Aayush Sehgal
- Department of Pharmacology, Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (I.K.); (A.S.); (S.S.)
| | - Sukhbir Singh
- Department of Pharmacology, Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India; (I.K.); (A.S.); (S.S.)
| | - Saurabh Bhatia
- Amity Institute of Pharmacy, Amity University, Gurugram 122413, India;
- Natural & Medical Sciences Research Centre, University of Nizwa, Birkat Al Mauz, Nizwa 616, Oman;
| | - Ahmed Al-Harrasi
- Natural & Medical Sciences Research Centre, University of Nizwa, Birkat Al Mauz, Nizwa 616, Oman;
| | - Gokhan Zengin
- Department of Biology, Faculty of Science, Selcuk University Campus, 42130 Konya, Turkey;
| | - Elena Emilia Babes
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania; (E.E.B.); (C.B.); (M.S.); (C.S.)
| | - Ciprian Brisc
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania; (E.E.B.); (C.B.); (M.S.); (C.S.)
| | - Manuela Stoicescu
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania; (E.E.B.); (C.B.); (M.S.); (C.S.)
| | - Mirela Marioara Toma
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania;
- Doctoral School of Biomedical Sciences, University of Oradea, 410087 Oradea, Romania
| | - Cristian Sava
- Department of Medical Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania; (E.E.B.); (C.B.); (M.S.); (C.S.)
| | - Simona Gabriela Bungau
- Department of Pharmacy, Faculty of Medicine and Pharmacy, University of Oradea, 410028 Oradea, Romania;
- Doctoral School of Biomedical Sciences, University of Oradea, 410087 Oradea, Romania
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Pourteymourfard Tabrizi Z, Jami MS. Selection of suitable bioinformatic tools in micro-RNA research. GENE REPORTS 2020. [DOI: 10.1016/j.genrep.2020.100893] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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Witwer KW. Alternative miRNAs? Human sequences misidentified as plant miRNAs in plant studies and in human plasma. F1000Res 2018; 7:244. [PMID: 29744036 PMCID: PMC5904727 DOI: 10.12688/f1000research.14060.1] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/23/2018] [Indexed: 12/22/2022] Open
Abstract
Background: A 2017 study reported that “Plant miRNAs found in human circulating system provide evidences of cross kingdom RNAi”. Analysis of two human blood plasma sequencing datasets was said to provide evidence for uptake of plant miRNAs into human plasma. The results were also purportedly inconsistent with contamination. Methods: Sequences from public datasets and miRNA databases were compared with results downloaded from the website of the reporting journal. Results: Only one putative plant miRNA (“peu-MIR2910) mapped consistently above background, and this sequence is found with 100% identity in a human rRNA. Several other rarer but consistently mapped putative plant miRNAs also have 100% or near 100% matches to human transcripts or genomic sequences, and some do not appear to map to plant genomes at all. Conclusions: Reanalysis of public data suggests that dietary plant xenomiR uptake is not supported, but instead confirms previous findings that detection of rare plant miRNAs in mammalian sequencing datasets is artifactual. Some putative plant miRNAs, including MIR2910 and MIR2911, may represent human sequence contamination or other artifacts in plant studies, emphasizing the need for rigorous controls and data filtering strategies when assessing possible xenomiRNAs.
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Affiliation(s)
- Kenneth W Witwer
- Department of Molecular and Comparative Pathobiology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA.,Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
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Ueda M, Sato T, Ohkawa Y, Inoue YH. Identification of miR-305, a microRNA that promotes aging, and its target mRNAs in Drosophila. Genes Cells 2018; 23:80-93. [PMID: 29314553 DOI: 10.1111/gtc.12555] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Accepted: 12/01/2017] [Indexed: 01/07/2023]
Abstract
MicroRNAs (miRNAs) are involved in the regulation of important biological processes. Here, we describe a novel Drosophila miRNAs involved in aging. We selected eight Drosophila miRNAs, displaying high homology with seed sequences of aging-related miRNAs characterized in other species, and investigated whether the over-expression of these miRNAs affected aging in Drosophila adult flies. The lifespan of adults over-expressing miR-305, a miRNA showing high homology with miR-239 in C. elegans, was significantly shorter. Conversely, a reduction in miR-305 expression led to a longer lifespan than that in control flies. miR-305 over-expression accelerated the impairment of locomotor activity and promoted the age-dependent accumulation of poly-ubiquitinated protein aggregates in the muscle, as flies aged. Thus, we show that the ectopic expression of miR-305 has a deleterious effect on aging in Drosophila. To identify the targets of miR-305, we performed RNA-Seq. We discovered several mRNAs encoding antimicrobial peptides and insulin-like peptides, whose expression changed in adults upon miR-305 over-expression. We further confirmed, by qRT-PCR, that miR-305 over-expression significantly decreases the mRNA levels of four antimicrobial peptides. As these mRNAs contain multiple sequences matching the seed sequence of miR-305, we speculate that a reduction in target mRNA levels, caused by ectopic miRNA expression, promotes aging.
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Affiliation(s)
- Makiko Ueda
- Department of Insect Biomedical Research, Center for Advanced Insect Research Promotion, Kyoto Institute of Technology, Kyoto, Japan
| | - Tetsuya Sato
- Medical Institute of Bioregulation, Kyushu University, Kyushu, Japan
| | - Yasuyuki Ohkawa
- Medical Institute of Bioregulation, Kyushu University, Kyushu, Japan
| | - Yoshihiro H Inoue
- Department of Insect Biomedical Research, Center for Advanced Insect Research Promotion, Kyoto Institute of Technology, Kyoto, Japan
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Mullany LE, Wolff RK, Slattery ML. Effectiveness and Usability of Bioinformatics Tools to Analyze Pathways Associated with miRNA Expression. Cancer Inform 2015; 14:121-30. [PMID: 26560461 PMCID: PMC4629629 DOI: 10.4137/cin.s32716] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2015] [Revised: 09/20/2015] [Accepted: 09/23/2015] [Indexed: 12/25/2022] Open
Abstract
MiRNAs are small, nonprotein-coding RNA molecules involved in gene regulation. While bioinformatics help guide miRNA research, it is less clear how they perform when studying biological pathways. We used 13 criteria to evaluate effectiveness and usability of existing bioinformatics tools. We evaluated the performance of six bioinformatics tools with a cluster of 12 differentially expressed miRNAs in colorectal tumors and three additional sets of 12 miRNAs that are not part of a known cluster. MiRPath performed the best of all the tools in linking miRNAs, with 92% of all miRNAs linked as well as the highest based on our established criteria followed by Ingenuity (58% linked). Other tools, including Empirical Gene Ontology, miRó, miRMaid, and PhenomiR, were limited by their lack of available tutorials, lack of flexibility and interpretability, and/or difficulty using the tool. In summary, we observed a lack of standardization across bioinformatic tools and a general lack of specificity in terms of pathways identified between groups of miRNAs. Hopefully, this evaluation will help guide the development of new tools.
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Affiliation(s)
- Lila E Mullany
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Roger K Wolff
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Martha L Slattery
- Department of Internal Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
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Desvignes T, Batzel P, Berezikov E, Eilbeck K, Eppig JT, McAndrews MS, Singer A, Postlethwait JH. miRNA Nomenclature: A View Incorporating Genetic Origins, Biosynthetic Pathways, and Sequence Variants. Trends Genet 2015; 31:613-626. [PMID: 26453491 DOI: 10.1016/j.tig.2015.09.002] [Citation(s) in RCA: 138] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2015] [Revised: 08/10/2015] [Accepted: 09/04/2015] [Indexed: 12/21/2022]
Abstract
High-throughput sequencing of miRNAs has revealed the diversity and variability of mature and functional short noncoding RNAs, including their genomic origins, biogenesis pathways, sequence variability, and newly identified products such as miRNA-offset RNAs (moRs). Here we review known cases of alternative mature miRNA-like RNA fragments and propose a revised definition of miRNAs to encompass this diversity. We then review nomenclature guidelines for miRNAs and propose to extend nomenclature conventions to align with those for protein-coding genes established by international consortia. Finally, we suggest a system to encompass the full complexity of sequence variations (i.e., isomiRs) in the analysis of small RNA sequencing experiments.
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Affiliation(s)
- T Desvignes
- Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA
| | - P Batzel
- Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA
| | - E Berezikov
- European Research Institute for the Biology of Ageing, University of Groningen, University Medical Center Groningen, 9713 AV Groningen, The Netherlands
| | - K Eilbeck
- Utah Science, Technology, and Research Center for Genetic Discovery, University of Utah, Salt Lake City, UT 84112, USA; Department of Biomedical Informatics, University of Utah, Salt Lake City, UT 84112, USA
| | - J T Eppig
- Mouse Genome Informatics, The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - M S McAndrews
- Mouse Genome Informatics, The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA
| | - A Singer
- ZFIN, 5291 University of Oregon, Eugene, OR 97403-5291, USA
| | - J H Postlethwait
- Institute of Neuroscience, University of Oregon, Eugene, OR 97403, USA.
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Dambal S, Shah M, Mihelich B, Nonn L. The microRNA-183 cluster: the family that plays together stays together. Nucleic Acids Res 2015; 43:7173-88. [PMID: 26170234 PMCID: PMC4551935 DOI: 10.1093/nar/gkv703] [Citation(s) in RCA: 152] [Impact Index Per Article: 16.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2015] [Accepted: 06/25/2015] [Indexed: 12/28/2022] Open
Abstract
The microRNA (miR)183 cluster, which is comprised of miRs-183, -96 and -182, is also a miR family with sequence homology. Despite the strong similarity in the sequences of these miRs, minute differences in their seed sequences result in both overlapping and distinct messenger RNA targets, which are often within the same pathway. These miRs have tightly synchronized expression during development and are required for maturation of sensory organs. In comparison to their defined role in normal development, the miR-183 family is frequently highly expressed in a variety of non-sensory diseases, including cancer, neurological and auto-immune disorders. Here, we discuss the conservation of the miR-183 cluster and the functional role of this miR family in normal development and diseases. We also describe the regulation of vital cellular pathways by coordinated expression of these miR siblings. This comprehensive review sheds light on the likely reasons why the genomic organization and seeming redundancy of the miR-183 family cluster was conserved through 600 million years of evolution.
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Affiliation(s)
- Shweta Dambal
- Department of Pathology, University of Illinois at Chicago, 840 S. Wood Street, Room 130 CSN, MC 847, Chicago, IL 60612, USA
| | - Mit Shah
- Department of Pathology, University of Illinois at Chicago, 840 S. Wood Street, Room 130 CSN, MC 847, Chicago, IL 60612, USA
| | - Brittany Mihelich
- Department of Pathology, University of Illinois at Chicago, 840 S. Wood Street, Room 130 CSN, MC 847, Chicago, IL 60612, USA
| | - Larisa Nonn
- Department of Pathology, University of Illinois at Chicago, 840 S. Wood Street, Room 130 CSN, MC 847, Chicago, IL 60612, USA University of Illinois Cancer Center, Chicago, IL 60612, USA
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8
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Jacobsen A, Silber J, Harinath G, Huse JT, Schultz N, Sander C. Analysis of microRNA-target interactions across diverse cancer types. Nat Struct Mol Biol 2013; 20:1325-32. [PMID: 24096364 PMCID: PMC3982325 DOI: 10.1038/nsmb.2678] [Citation(s) in RCA: 149] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Accepted: 08/15/2013] [Indexed: 12/20/2022]
Abstract
Little is known about the extent to which individual microRNAs (miRNAs) regulate common processes of tumor biology across diverse cancer types. Using molecular profiles of >3,000 tumors from 11 human cancer types in The Cancer Genome Atlas, we systematically analyzed expression of miRNAs and mRNAs across cancer types to infer recurrent cancer-associated mi RNA-target relationships. As we expected, the inferred relationships were consistent with sequence-based predictions and published data from miRNA perturbation experiments. Notably, miRNAs with recurrent target relationships were frequently regulated by genetic and epigenetic alterations across the studied cancer types. We also identify new examples of miRNAs that coordinately regulate cancer pathways, including the miR-29 family, which recurrently regulates active DNA demethylation pathway members TET1 and TDG. The online resource http://cancerminer.org allows exploration and prioritization of miRNA-target interactions that potentially regulate tumorigenesis.
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Affiliation(s)
- Anders Jacobsen
- Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
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Schmitz U, Wolkenhauer O. Web resources for microRNA research. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2013; 774:225-50. [PMID: 23377976 DOI: 10.1007/978-94-007-5590-1_12] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Over the last decade thousands of microRNAs (miRNAs) have been discovered in all kinds of taxa. The ever growing number of identified miRNA genes required ordered cataloging and annotation. This has led to the development of miRNA web resources.MiRNA web resources can be referred to either as web accessible databases (repositories) or web applications that provide a defined computational task upon user request. Today, more than three dozen web accessible resources exist that gather, organize and annotate all kinds of miRNA related data. According to the type of data or data processing method, these miRNA web resources can be classified as miRNA sequence and annotation databases, resources and tools for predicted as well as experimentally validated targets, databases of miRNA regulation and expression, functional annotation and mapping databases and a number of other tools and resources that are species-specific or focus on particular phenotypes.This chapter provides an overview of the different types of miRNA web resources and their purpose and gives some examples for each category. Furthermore, some valuable miRNA web applications will be introduced. Finally, strategies for miRNA data retrieval and associated risks and pitfalls will be discussed.
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Affiliation(s)
- Ulf Schmitz
- Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany.
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Tan Gana NH, Victoriano AFB, Okamoto T. Evaluation of online miRNA resources for biomedical applications. Genes Cells 2011; 17:11-27. [PMID: 22077698 DOI: 10.1111/j.1365-2443.2011.01564.x] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
MicroRNAs (miRNAs) are endogenous single-stranded, 22-nt (nucleotide) RNAs which complement mRNA to initiate post-transcriptional regulation. This review presents updates and evaluations of the public domain resources available for miRNA identification and target prediction toward their utilization in the biomedical research approach. This study discusses the basic principles of miRNA computational studies based on the nature and mechanism of action of miRNAs. Furthermore, we have explored fifty-nine current online miRNA tools that can be categorized into three classes in this paper: (i) miRNA identification; (ii) miRNA target prediction; and (iii) specialized miRNA tools.
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Affiliation(s)
- Neil H Tan Gana
- Department of Molecular and Cell Biology, Nagoya City University Graduate School of Medical Sciences, 1-Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya City 467-8601, Japan
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Goto N, Prins P, Nakao M, Bonnal R, Aerts J, Katayama T. BioRuby: bioinformatics software for the Ruby programming language. Bioinformatics 2010; 26:2617-9. [PMID: 20739307 PMCID: PMC2951089 DOI: 10.1093/bioinformatics/btq475] [Citation(s) in RCA: 111] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/05/2022] Open
Abstract
Summary: The BioRuby software toolkit contains a comprehensive set of free development tools and libraries for bioinformatics and molecular biology, written in the Ruby programming language. BioRuby has components for sequence analysis, pathway analysis, protein modelling and phylogenetic analysis; it supports many widely used data formats and provides easy access to databases, external programs and public web services, including BLAST, KEGG, GenBank, MEDLINE and GO. BioRuby comes with a tutorial, documentation and an interactive environment, which can be used in the shell, and in the web browser. Availability: BioRuby is free and open source software, made available under the Ruby license. BioRuby runs on all platforms that support Ruby, including Linux, Mac OS X and Windows. And, with JRuby, BioRuby runs on the Java Virtual Machine. The source code is available from http://www.bioruby.org/. Contact:katayama@bioruby.org
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Affiliation(s)
- Naohisa Goto
- Department of Genome Informatics, Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Japan
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Goble CA, Bhagat J, Aleksejevs S, Cruickshank D, Michaelides D, Newman D, Borkum M, Bechhofer S, Roos M, Li P, De Roure D. myExperiment: a repository and social network for the sharing of bioinformatics workflows. Nucleic Acids Res 2010; 38:W677-82. [PMID: 20501605 PMCID: PMC2896080 DOI: 10.1093/nar/gkq429] [Citation(s) in RCA: 214] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
myExperiment (http://www.myexperiment.org) is an online research environment that supports the social sharing of bioinformatics workflows. These workflows are procedures consisting of a series of computational tasks using web services, which may be performed on data from its retrieval, integration and analysis, to the visualization of the results. As a public repository of workflows, myExperiment allows anybody to discover those that are relevant to their research, which can then be reused and repurposed to their specific requirements. Conversely, developers can submit their workflows to myExperiment and enable them to be shared in a secure manner. Since its release in 2007, myExperiment currently has over 3500 registered users and contains more than 1000 workflows. The social aspect to the sharing of these workflows is facilitated by registered users forming virtual communities bound together by a common interest or research project. Contributors of workflows can build their reputation within these communities by receiving feedback and credit from individuals who reuse their work. Further documentation about myExperiment including its REST web service is available from http://wiki.myexperiment.org. Feedback and requests for support can be sent to bugs@myexperiment.org.
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Affiliation(s)
- Carole A Goble
- School of Computer Science, The University of Manchester, Manchester M13 9PL, UK
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