186,364 research outputs found
pratas/goose V1.1
No full text<p>GOOSE: a toolkit for DNA sequence analysis and manipulation</p>
pratas/owl: A tool to order FASTQ reads using elastic cluster mapping
No full text<p>A tool to order FASTQ reads using elastic cluster mapping:</p>
<ul>
<li>mapps the reads according to a reference (hashing the k-mer);</li>
<li>for each read uses elastic clustering to get the most representative position (in the reference) of the read (given a minimum);</li>
<li>orders using heap sort;</li>
</ul>
<p>It does not preserve the original order of the reads.</p>
O Curriculum Vitae e a bibliografia de Serafim Leite (1890-1969)
No full text<p>O Arquivo Português da Companhia de Jesus (APCJ) tem à sua guarda o espólio do historiador jesuíta Serafim Leite, que, entre manuscritos, impressos e outras tipologias arquivísticas, conserva o seu <i>Curriculum Vitae </i>(Doc. 1) e uma bibliografia (Doc. 2) de obras publicadas na sua vida. Estes dois documentos, dactilografados, com numeração própria, são fundamentais para entender os principais passos do seu percurso, assim como ficar a conhecer, a partir da sua redação, as obras a que consagrou a sua vida.</p><p>A transcrição e edição destas fontes, dactilografadas, surge no quadro do seed-project <i>Uma História 'em construção'. Artistas e Artífices nos espólios de Francisco Rodrigues, S.J. (1873-1956) e de Serafim Leite, S.J. (1890-1969)</i>, financiado pelo Instituto de História da Arte, Faculdade de Ciências Sociais e Humanas da Universidade NOVA de Lisboa / IN2PAST — Laboratório Associado para a Investigação e Inovação em Património, Artes, Sustentabilidade e Território e realizado em colaboração com a Brotéria. </p>
falcon: A machine learning system to detect and visualize pathogens in genomic and metagenomic samples
No full text<p>A machine learning system to detect and visualize pathogens in genomic and metagenomic samples:</p>
<ul>
<li>added local similarity;</li>
<li>added filtering and visual;</li>
<li>added extras;</li>
<li>code optimization;</li>
<li>several bugs fixed (from 1.2)</li>
</ul>
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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
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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