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A simple Fortran script to identify potential mRNA targets of miRNA potentially regulated by Vitamin E
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Predicting microRNA modulation in human prostate cancer using a simple String IDentifier (SID1.0)
No full textTo make faster and efficient the identification of mRNA targets common to more than one miRNA, and to
identify new miRNAs modulated in specific pathways, a computer program identified as SID1.0 (simple
String IDentifier) was developed and successfully applied in the identification of deregulated miRNAs in
prostate cancer cells. This computationally inexpensive Fortran program is based on the strategy of
exhaustive search and specifically designed to screen shared data (target genes, miRNAs and pathways)
available from PicTar and DIANA-MicroT 3.0 databases. As far as we know this is the first software
designed to filter data retrieved from available miRNA databases. SID1.0 takes advantage of the standard
Fortran intrinsic functions for manipulating text strings and requires ASCII input files. In order to demonstrate
SID1.0 applicability, some miRNAs expected from the literature to associate with cancerogenesis
(miR-125b, miR-148a and miR-141), were randomly identified as main entries for SID1.0 to explore
matching sequences of mRNA targets and also to explore KEGG pathways for the presence of ID codes
of targeted genes. Besides genes and pathways already described in the literature, SID1.0 has proven
to useful for predicting other genes involved in prostate carcinoma. These latter were used to identify
new deregulated miRNAs: miR-141, miR-148a, miR-19a and miR-19b. Prediction data were preliminary
confirmed by expression analysis of the identified miRNAs in androgen-dependent (LNCaP) and independent
(PC3) prostate carcinoma cell lines and in normal prostatic epithelial cells (PrEC
Putative miRNAs for the diagnosis of dyslexia, dyspraxia, and specific language impairment.
No full textDisorders of human communication abilities are classifiable in speech (dyspraxia) and language (dyslexia, SLI) disorders. Speech disorders (e.g. Dyspraxia) affect the sound generation and sequencing, while language disorders (e.g. Dyslexia and Specific Language Impairment (SLI) are deficits in the encoding and decoding of language according to its rules (reading, spelling, grammar). The diagnosis of such disorders is often very complicated specially when a patient presents more than one disorder at the same time. The present review focuses on this problematic. We combined data available from literature with an in silico approach trying to identify putative miRNAs, that may have a key role in dyspraxia, dyslexia and SLI. We could obtain new miRNAs, that could have an important impact on the three diseases. Further we related those miRNAs to the Axon guidance pathway and discussed possible interactions and role of possibly deregulated proteins. In addition we described possible differences in expressional deregulation and its possible role on a betterment of diagnosis in the future. Concluding, we invite to experimental investigations of the data obtained in silico
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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