186,354 research outputs found
Assignment of the troponin C2 fast gene (TNNC2) to porcine chromosome bands 17q2.1· q2.2 by in situ hybridization
Assignment of troponin C2, fast (TNNC2) gene to porcine chromosome bands 17q21-q22 by in situ hybridizatio
The porcine poly(rC)-binding protein 2 (PCBP2) gene maps to chromosome 5
A recombinant clone was isolated at random from a skeletal muscle cDNA library. The sequence of the resulting 598 bp insert (EMBL accession number X94253) was compared in EMBL and GenBank databases using BLASTN2. The comparisons showed the highest matches with mouse and human PCBP2 cDNAs (mouse X75947, mouse X97982, human X78136 and mouse L19661; BLASTN probability were 1·9e-182, 1·1e-176, 1·6e-174 and 4·7 e-172, respectively). Excluding two gaps that could be due to alternative splicing, the deduced porcine protein sequence revealed the complete identity with corresponding human ( X78136) and mouse ( L19661) sequences. The mouse sequences X75947and X97982showed only one amino acid difference (Arg instead of Gly) with the deduced amino acid sequence of the porcine cDNA clone isolated. The cDNA was used as probe for in situ hybridization and for RFLP analysis in three generation reference populations. Both approaches assigned this gene to porcine chromosome 5
Author-wise bibliometric analysis based on entropy.
Author-wise bibliometric analysis based on entropy.</p
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
Phylogenomic study of the subfamily Tragelapinae by cross-species chromosome painting with cattle paints
The porcine proteasome subunit A4 (PSMA4) gene: Isolation of a partial cDNA, linkage and physical mapping
A partial cDNA clone encoding the porcine proteasome subunit A4 (PSMA4 or proteasome subunit C9) has been isolated from a porcine muscle cDNA library and sequenced. A biallelic TaqI RFLP was identified in Large White, Landrace and Duroc breeds. Moreover, the 3'-untranslated region of the gene showed a triallelic SSCP. By linkage analysis the PSMA4 locus was assigned to pig chromosome 7 and by radioactive in situ hybridization this locus was mapped to the region 7q13-q14
Appropriate Similarity Measures for Author Cocitation Analysis
We 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
The utility of chromosome microdissection in clinical cytogenetics: a new reciprocal translocation in sheep.
Local sheep breeders and scientists in Italy cooperate and conduct research on the genetic improvement of autochthonous genetic types (AGTs) by various approaches, including a cytogenetic breeding selection since 2011. The Laticauda sheep (Ovis aries, 2n = 54) breed is one of the AGTs reared in the Campania region (southern Italy). Performing cytogenetic analyses, we have detected and described a novel reciprocal translocation in a Laticauda sheep identified as 54,XX t(18;23)(q14;q26). Our data support recurring appeals that suggest the regular performance of cytogenetic analyses for monitoring genetic health of livestock species. In total, 5 cases of reciprocal translocations in sheep are known, including the new case. None of them has any phenotypic effect on the living offspring. However, affected animals are characterized by sterility or have a low fertility which can have an effect on breeding success and on economical balance. Presence and kind of the described novel chromosomal aberration were detected by performing CBA-banding and FISH mapping with telomeric probes. RBA-banding allowed the karyotyping of sheep chromosomes and the identification of aberrant chromosomes and regions involved in the new reciprocal translocation. Whole chromosome painting (WCP) probes received from equivalent chromosomes in cattle and the derivative sheep chromosome 18 confirmed the cytogenetic data. This way, our study underlined both the importance of WCP probes by chromosome microdissection and a new way to use WCP probes directly generated from derivative chromosome
Dispelling the Myths Behind First-author Citation Counts
We 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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