13 research outputs found

    Dataset for distribution of INGI/RIME and SLACS CRE transposable elements in Trypanosoma brucei genome

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    The current dataset is generated via bio-computational approach by surveying of INGI/RIME and SLACS CRE transposable elements (TEs) in latest update of Trypanosoma brucei genome. The distribution dataset (Supplementary File 1) shows the chromosome wise distribution of INGI/RIME and SLACS CRE transposable elements with the status of their -5′ and -3′ ends, genomic coverage and further elemental description about the completeness on the element. The 5′ upstream flanking sequence of 100 bp was then analyzed to find out possible regions that could act as insertion hotspots. The Fig. 1 represents the ten different motifs found in the 5′ flanking region of the INGI/RIME and SLACS CRE elements. The Supplementary File 2 describes the distribution of these ten motifs in different locations in Trypanosoma brucei genome. These new locations where motifs were found may provide useful information to track the future transposition events of INGI/RIME and SLACS CRE elements in different Trypanosoma species

    Microsatellite characterization of Chital deer (Axis axis) by using faecal DNA

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    Aim: To study the genome profile of Chital deer (A.axis) by microsatellite markers using faecal DNA & to assess its usefulness as non invasive method of genotyping. Materials and Methods: DNA was isolated from 44 animals from faeces and blood, out of which 26 (3 from blood and 23 from faeces) were subjected for genotyping. The PCR products of all the ten microsatellite loci were subjected to 6 % Urea-PAGE to differentiate allelic size. Result: Total 57 alleles and 49 genotypes were found with their frequencies ranging from 0.022 to 0.457 and 0.043 to 0.696 respectively. The observed number of alleles ranged from 4 -8, (Av. = 5.7 per locus). The PIC and Shannon's information index values for all loci ranged between 0.6645 to 0.8270 (Av. = 0.7442 per locus) and 1.1870 to 1.8852 (Av. = 1.5122 per locus) respectively. Conclusion: Faecal DNA can be effectively used in genotyping wild animals, however the method and time of collection & storage as well as the type of faecal material largely influences the quality & quantity of DNA. [Vet World 2013; 6(2.000): 83-86

    Knowledge Graph Construction and Its Application in Automatic Radiology Report Generation from Radiologist's Dictation

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    Conventionally, the radiologist prepares the diagnosis notes and shares them with the transcriptionist. Then the transcriptionist prepares a preliminary formatted report referring to the notes, and finally, the radiologist reviews the report, corrects the errors, and signs off. This workflow causes significant delays and errors in the report. In current research work, we focus on applications of NLP techniques like Information Extraction (IE) and domain-specific Knowledge Graph (KG) to automatically generate radiology reports from radiologist's dictation. This paper focuses on KG construction for each organ by extracting information from an existing large corpus of free-text radiology reports. We develop an information extraction pipeline that combines rule-based, pattern-based, and dictionary-based techniques with lexical-semantic features to extract entities and relations. Missing information in short dictation can be accessed from the KGs to generate pathological descriptions and hence the radiology report. Generated pathological descriptions evaluated using semantic similarity metrics, which shows 97% similarity with gold standard pathological descriptions. Also, our analysis shows that our IE module is performing better than the OpenIE tool for the radiology domain. Furthermore, we include a manual qualitative analysis from radiologists, which shows that 80-85% of the generated reports are correctly written, and the remaining are partially correct

    Genotyping of major histocompatibility complex Class II DRB gene in Rohilkhandi goats by polymerase chain reaction-restriction fragment length polymorphism and DNA sequencing

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    Aim: To study the major histocompatibility complex (MHC) Class II DRB1 gene polymorphism in Rohilkhandi goat using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) and nucleotide sequencing techniques. Materials and Methods: DNA was isolated from 127 Rohilkhandi goats maintained at sheep and goat farm, Indian Veterinary Research Institute, Izatnagar, Bareilly. A 284 bp fragment of exon 2 of DRB1 gene was amplified and digested using BsaI and TaqI restriction enzymes. Population genetic parameters were calculated using Popgene v 1.32 and SAS 9.0. The genotypes were then sequenced using Sanger dideoxy chain termination method and were compared with related breeds/species using MEGA 6.0 and Megalign (DNASTAR) software. Results: TaqI locus showed three and BsaI locus showed two genotypes. Both the loci were found to be in Hardy–Weinberg equilibrium (HWE), however, population genetic parameters suggest that heterozygosity is still maintained in the population at both loci. Percent diversity and divergence matrix, as well as phylogenetic analysis revealed that the MHC Class II DRB1 gene of Rohilkhandi goats was found to be in close cluster with Garole and Scottish blackface sheep breeds as compared to other goat breeds included in the sequence comparison. Conclusion: The PCR-RFLP patterns showed population to be in HWE and absence of one genotype at one locus (BsaI), both the loci showed excess of one or the other homozygote genotype, however, effective number of alleles showed that allelic diversity is present in the population. Sequence comparison of DRB1 gene of Rohilkhandi goat with other sheep and goat breed assigned Rohilkhandi goat in divergence with Jamanupari and Angora goats

    Single nucleotide polymorphism mining and nucleotide sequence analysis of Mx1 gene in exonic regions of Japanese quail

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    Aim: An attempt has been made to study the Myxovirus resistant (Mx1) gene polymorphism in Japanese quail. Materials and Methods: In the present, investigation four fragments viz. Fragment I of 185 bp (Exon 3 region), Fragment II of 148 bp (Exon 5 region), Fragment III of 161 bp (Exon 7 region), and Fragment IV of 176 bp (Exon 13 region) of Mx1 gene were amplified and screened for polymorphism by polymerase chain reaction-single-strand conformation polymorphism technique in 170 Japanese quail birds. Results: Out of the four fragments, one fragment (Fragment II) was found to be polymorphic. Remaining three fragments (Fragment I, III, and IV) were found to be monomorphic which was confirmed by custom sequencing. Overall nucleotide sequence analysis of Mx1 gene of Japanese quail showed 100% homology with common quail and more than 80% homology with reported sequence of chicken breeds. Conclusion: The Mx1 gene is mostly conserved in Japanese quail. There is an urgent need of comprehensive analysis of other regions of Mx1 gene along with its possible association with the traits of economic importance in Japanese quail

    ILC Reference Design Report Volume 1 - Executive Summary

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    The International Linear Collider (ILC) is a 200-500 GeV center-of-mass high-luminosity linear electron-positron collider, based on 1.3 GHz superconducting radio-frequency (SCRF) accelerating cavities. The ILC has a total footprint of about 31 km and is designed for a peak luminosity of 2x10^34 cm^-2s^-1. This report is the Executive Summary (Volume I) of the four volume Reference Design Report. It gives an overview of the physics at the ILC, the accelerator design and value estimate, the detector concepts, and the next steps towards project realization.The International Linear Collider (ILC) is a 200-500 GeV center-of-mass high-luminosity linear electron-positron collider, based on 1.3 GHz superconducting radio-frequency (SCRF) accelerating cavities. The ILC has a total footprint of about 31 km and is designed for a peak luminosity of 2x10^34 cm^-2s^-1. This report is the Executive Summary (Volume I) of the four volume Reference Design Report. It gives an overview of the physics at the ILC, the accelerator design and value estimate, the detector concepts, and the next steps towards project realization
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