| 1. |
- Kemmer, D., et al.
(author)
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Exploring the foundation of genomics : a Northern blot reference set for the comparative analysis of transcript profiling technologies
- 2004
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In: Comparative and functional genomics. - : Hindawi Limited. - 1531-6912 .- 1532-6268. ; 5:8, s. 584-595
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Journal article (peer-reviewed)abstract
- In this paper we aim to create a reference data collection of Northern blot results and demonstrate how such a collection can enable a quantitative comparison of modern expression profiling techniques, a central component of functional genomics studies. Historic ally, Northern blots were the de facto standard for determining RNA transcript levels. However, driven by the demand for analysis of large sets of genes in parallel, high-throughput methods, such as microarrays, dominate modern profiling efforts. To facilitate assessment of these methods, in comparison to Northern blots, we created a database of published Northern results obtained with a standardized commercial multiple tissue blot (dbMTN). In order to demonstrate the utility of the dbMTN collection for technology comparison, we also generated expression profiles for genes across a set of human tissues, using multiple profiling techniques. No method produced profiles that were strongly correlated with the Northern blot data. The highest correlations to the Northern blot data were determined with microarrays for the subset of genes observed to be specifically expressed in a single tissue in the Northern analyses. The database and expression profiling data are available via the project website (http://www.cisreg.ca). We believe that emphasis on multitechnique validation of expression profiles is justified, as the correlation results between platforms are not encouraging on the whole. Supplementary material for this article can be found at: http://www.interscience.wiley.com/jpages/1531-6912/suppmat
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| 5. |
- Altenhoff, Adrian M., et al.
(author)
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Standardized benchmarking in the quest for orthologs
- 2016
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In: Nature Methods. - 1548-7091 .- 1548-7105. ; 13:5, s. 425-
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Journal article (peer-reviewed)abstract
- Achieving high accuracy in orthology inference is essential for many comparative, evolutionary and functional genomic analyses, yet the true evolutionary history of genes is generally unknown and orthologs are used for very different applications across phyla, requiring different precision-recall trade-offs. As a result, it is difficult to assess the performance of orthology inference methods. Here, we present a community effort to establish standards and an automated web-based service to facilitate orthology benchmarking. Using this service, we characterize 15 well-established inference methods and resources on a battery of 20 different benchmarks. Standardized benchmarking provides a way for users to identify the most effective methods for the problem at hand, sets a minimum requirement for new tools and resources, and guides the development of more accurate orthology inference methods.
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| 7. |
- Bateman, A, et al.
(author)
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The Pfam protein families database
- 2002
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In: Nucleic acids research. - : Oxford University Press (OUP). - 1362-4962. ; 30:1, s. 276-280
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Journal article (peer-reviewed)
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| 8. |
- Bateman, A, et al.
(author)
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The Pfam protein families database
- 2000
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In: Nucleic acids research. - : Oxford University Press (OUP). - 0305-1048 .- 1362-4962. ; 28:1, s. 263-266
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Journal article (peer-reviewed)
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| 9. |
- Carreras-Puigvert, Jordi, et al.
(author)
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A comprehensive structural, biochemical and biological profiling of the human NUDIX hydrolase family
- 2017
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In: Nature Communications. - : Nature Publishing Group. - 2041-1723. ; 8:1
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Journal article (peer-reviewed)abstract
- The NUDIX enzymes are involved in cellular metabolism and homeostasis, as well as mRNA processing. Although highly conserved throughout all organisms, their biological roles and biochemical redundancies remain largely unclear. To address this, we globally resolve their individual properties and inter-relationships. We purify 18 of the human NUDIX proteins and screen 52 substrates, providing a substrate redundancy map. Using crystal structures, we generate sequence alignment analyses revealing four major structural classes. To a certain extent, their substrate preference redundancies correlate with structural classes, thus linking structure and activity relationships. To elucidate interdependence among the NUDIX hydrolases, we pairwise deplete them generating an epistatic interaction map, evaluate cell cycle perturbations upon knockdown in normal and cancer cells, and analyse their protein and mRNA expression in normal and cancer tissues. Using a novel FUSION algorithm, we integrate all data creating a comprehensive NUDIX enzyme profile map, which will prove fundamental to understanding their biological functionality.
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| 10. |
- El-Gebali, Sara, et al.
(author)
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The Pfam protein families database in 2019
- 2019
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In: Nucleic Acids Research. - : Oxford University Press (OUP). - 0305-1048 .- 1362-4962. ; 47:D1, s. D427-D432
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Journal article (peer-reviewed)abstract
- The last few years have witnessed significant changes in Pfam (https://pfam.xfam.org). The number of families has grown substantially to a total of 17,929 in release 32.0. New additions have been coupled with efforts to improve existing families, including refinement of domain boundaries, their classification into Pfam clans, as well as their functional annotation. We recently began to collaborate with the RepeatsDB resource to improve the definition of tandem repeat families within Pfam. We carried out a significant comparison to the structural classification database, namely the Evolutionary Classification of Protein Domains (ECOD) that led to the creation of 825 new families based on their set of uncharacterized families(EUFs). Furthermore, we also connected Pfam entries to the Sequence Ontology (SO) through mapping of the Pfam type definitions to SO terms. Since Pfam has many community contributors, we recently enabled the linking between authorship of all Pfam entries with the corresponding authors' ORCID identifiers. This effectively permits authors to claim credit for their Pfam curation and link them to their ORCID record.
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