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Snehkunj R.,Shree Ramkrishna Institute of Computer Education and Applied science | Mehta R.,Sk Patel Institute Of Management And Computer Studies | Jani A.N.,Sk Patel Institute Of Management And Computer Studies
Advances in Intelligent Systems and Computing | Year: 2016

In the current scenario of Biomedical Research, the Magnetic Resonance Imaging (MRI) images visual analytics processing applications are facing challenges of the use of different techniques under different frameworks supported by different software tools. The establishment of different frameworks under different software tools and migration of data from one framework to another as well as one tool or environment to another poses critical difficulties and large time consumption. To reduce this hassle, the need of common framework is identified and the same is undertaken in this work. To address this issue, a framework MRI Image Pattern Detection Framework (MIPDF) is proposed to take care for the reduction of cited hassle and improved visual analytics to support medical professionals in their act of detection and diagnosis of diseases by identifying regularity and irregularity with improved visualization and analytics results. © Springer India 2016. Source


Toral D.,Shree Ramkrishna Institute of Computer Education and Applied science
International Journal of ChemTech Research | Year: 2014

2-Hydroxy-5-Ethylacetophenone Oxime (HEAO) has been used as a reagent for the study of Ni (II) chelate. The reagent gives green precipitate at pH 7.0 to 8.0. Ni (II) is quantitatively precipitated by HEAO between pH 5.5 to 10.0 and it was determined gravimetrically at pH 7.0 to 8.0. After drying the precipitate at 110° C its composition corresponds to the formula Ni(C10H12O2 N)2. Structure of green coloured complex has been assigned on the basis of Job's method, mole-ratio method and IR spectra. Source


Shah K.B.,Institute of Management Sciences | Trivedi R.,Shree Ramkrishna Institute of Computer Education and Applied science
International Journal of Pharma and Bio Sciences | Year: 2012

An extracellular phytase from Aspergillus tamari was purified about 51-fold to apparent homogeneity with a recovery of 20.3% referred to the phytase activity in the crude extract. Purification was achieved by ammonium sulphate precipitation, ion chromatography and gel filtration. The purified enzyme behaved as a monomeric protein with a molecular mass of about 85 kDa and exhibited maximal phytate-degrading activity at pH 8.5. Optimum temperature for the degradation of phytate was 28°C. The kinetic parameters for the hydrolysis of nitro phenyl phosphate disodium salt were determined to be Km = 54 μmol-land kcat = 190 sec-1 at pH 8.5 and 28°C. The purified enzyme was rather specific for phytate dephosphorylation. It was shown that the phytase preferably dephosphorylates myo-inositol hexakisphosphate in a stereospecific way by sequential removal of phosphate groups via D-Ins(1,2,4,5,6)P5, DIns(1,2,5,6)P4, D-Ins(1,2,6)P3, D-Ins(1,2)P2 to finally Ins(2)P. Source


Ghelani A.,Shree Ramkrishna Institute of Computer Education and Applied science | Ghelani A.,Hemchandracharya North Gujarat University | Patel R.,Hemchandracharya North Gujarat University | Mangrola A.,Hemchandracharya North Gujarat University | Dudhagara P.,Veer Narmad South Gujarat University
Genomics Data | Year: 2015

A taxonomic description of bacteria was deduced from 5.78. Mb metagenomic sequence retrieved from Tulsi Shyam hot spring, India using bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP). Metagenome contained 10,893 16S rDNA sequences that were analyzed by MG-RAST server to generate the comprehensive profile of bacteria. Metagenomic data are available at EBI under EBI Metagenomics database with accession no. ERP009559. Metagenome sequences represented the 98.2% bacteria origin, 1.5% of eukaryotic and 0.3% were unidentified. A total of 16 bacterial phyla demonstrating 97 families and 287 species were revealed in the hot spring metagenome. Most abundant phyla were Firmicutes (65.38%), Proteobacteria (21.21%) and unclassified bacteria (10.69%). Whereas, Peptostreptococcaceae (37.33%), Clostridiaceae (23.36%), and Enterobacteriaceae (16.37%) were highest reported families in metagenome. Ubiquitous species were Clostridium bifermentans (17.47%), Clostridium lituseburense (13.93%) and uncultured bacterium (10.15%). Our data provide new information on hot spring bacteria and shed light on their abundance, diversity, distribution and coexisting organisms. © 2015 The Authors. Source


Dudhagara P.,Veer Narmad South Gujarat University | Ghelani A.,Shree Ramkrishna Institute of Computer Education and Applied science | Patel R.,Hemchandracharya North Gujarat University | Chaudhari R.,Hemchandracharya North Gujarat University | Bhatt S.,Hemchandracharya North Gujarat University
Genomics Data | Year: 2015

Bacterial diversity and archaeal diversity in metagenome of the Lonar soda lake sediment were assessed by bacterial tag-encoded FLX amplicon pyrosequencing (bTEFAP). Metagenome comprised 5093 sequences with 2,531,282. bp and 53 ± 2% G. +. C content. Metagenome sequence data are available at NCBI under the Bioproject database with accession no. PRJNA218849. Metagenome sequence represented the presence of 83.1% bacterial and 10.5% archaeal origin. A total of 14 different bacteria demonstrating 57 species were recorded with dominating species like Coxiella burnetii (17%), Fibrobacter intestinalis (12%) and Candidatus Cloacamonas acidaminovorans (11%). Occurrence of two archaeal phyla representing 24 species, among them Methanosaeta harundinacea (35%), Methanoculleus chikugoensis (12%) and Methanolinea tarda (11%) were dominating species. Significant presence of 11% sequences as an unclassified indicated the possibilities for unknown novel prokaryotes from the metagenome. © 2015 The Authors. Source

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