Taxonomical Classification of Wild Life

Author(s):  
Rajesh Jani
2018 ◽  
Vol 7 (3) ◽  
pp. 39-43
Author(s):  
Satyaveer Singh ◽  
Mahendra Singh Aswal

Web usage mining is used to find out fascinating consumer navigation patterns which can be applied to a lot of real-world problems, such as enriching websites or pages, generating newly topic or product recommendations and consumer behavior studies, etc. In this paper, an attempt has been made to provide a taxonomical classification of web usage mining applications with two levels of hierarchy. Further, the ontology for various categories of the web usage mining applications has been developed and to prove the completeness of proposed taxonomy, a rigorous case study has been performed. The comparative study with other existing classifications of web usage mining applications has also been performed.


Genome ◽  
2008 ◽  
Vol 51 (2) ◽  
pp. 91-103 ◽  
Author(s):  
R. K. Sharma ◽  
P. Gupta ◽  
V. Sharma ◽  
A. Sood ◽  
T. Mohapatra ◽  
...  

Simple sequence repeat (SSR) markers are valuable tools for many purposes such as phylogenetic, fingerprinting, and molecular breeding studies. However, only a few SSR markers are known and available in bamboo species of the tropics ( Bambusa spp.). Considering that grass genomes have co-evolved and share large-scale synteny, theoretically it should be possible to use the genome sequence based SSR markers of field crops such as rice ( Oryza sativa ) and sugarcane ( Saccharum spp.) for genome analysis in bamboo. To test this, 98 mapped SSR primers representing 12 linkage groups of rice and 20 EST-derived sugarcane SSR primers were evaluated for transferability to 23 bamboo species. Of the tested markers, 44 (44.9%) rice and 15 (75%) sugarcane SSR primers showed repeatable amplification in at least one species of bamboo and thus were successfully utilized for phylogenetic and genetic diversity analyses. Transferred SSR primers revealed complex amplification patterns in bamboo, with an average of 9.62 fragments per primer, indicating a high level of polyploidy and genetic variability in bamboo. Forty-two of these primers (34 rice and 8 sugarcane SSR primers) detected an average of 2.12 unique fragments per primer and thus could be exploited for species identification. Six bamboo SSR primers exhibited cross transferability, to varying degrees, to different bamboo species. The genetic similarity coefficient indicated a high level of divergence at the species level (73%). However, a relatively low level of diversity was observed within species (25% in 20 accessions of Dendrocalamus hamiltonii ). Further, cluster analysis revealed that the major grouping was in accordance with the taxonomical classification of bamboo. Thus, the rice and sugarcane SSRs can be utilized for phylogenetic and genetic diversity studies in bamboo.


1993 ◽  
Vol 374 (7-12) ◽  
pp. 641-650 ◽  
Author(s):  
Bernhard WOLF ◽  
Kurt REINECKE ◽  
Klaus-Dieter AUMANN ◽  
Regina BRIGELIUS-FLOHÉ ◽  
Leopold FLOHÉ

2017 ◽  
Author(s):  
Alex James

Incorrect snake identification from the observable visual traits is a major reason of death resulting from snake bites. So far no automatic classification method has been proposed to distinguish snakes by deciphering the taxonomy features of snake for the two major species of snakes i.e. Elapidae and Viperidae. We present a parallel processed inter-feature product similarity fusion based automatic classification of Spectacled Cobra, Russel's Viper, King Cobra, Common Krait, Saw Scaled Viper, Hump nosed Pit Viper. We identify 31 different taxonomically relevant features from snake images for automated snake classification studies. The scalability and real-time implementation of the classifier is analyzed through GPU enabled parallel computing environment. The developed systems finds application in wild life studies, analysis of snake bites and in management of snake population.


2021 ◽  
Vol 17 (4) ◽  
pp. 735-739
Author(s):  
Pritee Chunarkar Patil ◽  
Darshit Ashokkumar Patel ◽  
Vidya Sunil Tale

Advancement in sequencing techniques and transformative progress in metagenomics provides an unprecedented platform for functional and taxonomic characterization of the enormous microbial diversity inhabiting and governing various biochemical processes of the freshwater sources. Metagenomic analysis of freshwater resources has led to the discovery and identification of novel microbial genes and an understanding of how microorganisms mediate energy and carbon. In this study, we report the taxonomical classification of bacterial sequences obtained from 6 dam reservoir sites in Pune city, Maharashtra, India. The analysis was performed using two different alignment tools: BLAST and Kaiju. The bacterial diversity was dominated by the presence of Vogecella indigofera, uncultured Proteobacterium, Wolinella Succinogenes, Chromobacterium violaceum, and Heliobacter billis. It was further observed that, despite an identical bacterial composition over various reservoir sites, there were nominal differences in the relative abundance of the inhabitant species. Almost all reservoirs were dominated by Vogecella indigofera (~29%) and uncultured Proteobacterium (~15%). A seasonal analysis performed using BLAST resulted in a number of species exclusive to the season and the site of their growth. A high proportion of unidentified sequences were also reported which demands sequential identification. The results obtained through BLAST and Kaiju, were significantly different, suggesting inconsistencies and inaccuracies in existing metagenomic reads comparison.


2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Giovanni Franzo ◽  
Martí Cortey ◽  
Alex Olvera ◽  
Dinko Novosel ◽  
Alessandra Marnie Martins Gomes De Castro ◽  
...  

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