Sagar P et al.; Sch J Agric Vet Sci 2014; 1(2):50-57. Available Online: http://saspjournals.com/sjavs 50 Scholars Journal of Agriculture and Veterinary Sciences e-ISSN 2348–1854 Sch J Agric Vet Sci 2014; 1(2):50-57 p-ISSN 2348–8883 ©Scholars Academic and Scientific Publishers (SAS Publishers) (An International Publisher for Academic and Scientific Resources) Bioinformatics Database of Some Leguminous Trees in Anand district of Gujarat state in India Sagar Patel 1 , Kalpesh Anjaria 2 , Hetalkumar Panchal 3 1 G. H. Patel Post Graduate Department of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, Dist. Anand, Gujarat, INDIA. 2 Department of Biology, Shri R. K. Parikh Arts and Science College, Petlad, Dist. Anand Pin 388450 Gujarat, INDIA. 3 Gujarat Agricultural Biotechnology Institute, Navsari Agricultural University, Surat, Gujarat- 395007, India. *Corresponding Author Name: Sagar S Patel Email: sgr308@gmail.com Abstract: In present days molecular data are available for many plant species which can be analyzed in relation to taxonomic or evolutionary or affinity context for different plant species. Biological Databases are libraries of life sciences information, collected from scientific experiments, published literature, high throughput experiment technology, and computational analyses. Biological databases play a central role in bioinformatics. They offer scientists the opportunity to access a wide variety of biologically data centrally. Authors have tried to generate preliminary bioinformatics data for some leguminous tree species. As much as possible of a particular type of information should be available in one plat form. In short we have made a database which includes all information of leguminous trees which are found in Anand district in Gujarat state of India, which contains Botanical information of each species and Bioinformatics information with analysis at one platform. The creation of such kind of database is reflection of interdisciplinary approach for current era where bioinformatics can play major role for botanical database. Which is further extended by developing bioinformatics database and placed all such relevant information on a wide platform for community in general as well as for scientific society in particular. Keywords: Bioinformatics, Multiple Sequence Alignment, Protein sequence information, DNA sequence information, some Leguminous trees INTRODUCTION Biological Databases are libraries of life sciences information, collected from scientific experiments, published literature, high throughput experiment technology, and computational analyses [20]. Biological databases play a central role in bioinformatics. They offer scientists the opportunity to access a wide variety of biologically data centrally. As much as possible of a particular type of information should be available in one single place (book, site, and database). Published data may be difficult to find or access and collecting it from the literature is very time- consuming. Bioinformatics is considered as computational branch of molecular biology. This has been used by various people of different fields in their own context. Plant taxonomists are also one of them. This has been considering as one more doors towards modern trends in exploring plant taxonomy [5]. In present days molecular data are available for many plant species which can be analyzed in relation to taxonomic or evolutionary or affinity context for different plant species. Authors have tried to generate preliminary bioinformatics data for some leguminous tree species found in Anand district of Gujarat state in India which include total 31 tree species of Leguminosae family (Fig.1) [1-5, 8]. Leguminosae family is further divided into 3 subfamilies, namely, 1) Fabaceae (Papilionoideae), 2) Caesalpinioideae and 3) Mimosoideae [1,18]. METHODS This database is divided into two parts. First part includes only botanical information of 31 tree species[1-2, 8], where as second part comprises of Bioinformatics section which includes all the information of each tree species whose data are deposited in respective database. Database creation was done with the help of Macromedia- dreamweaver MX – Software and formatting was done with html web page creation feature of this software. In this database, analysis was done with respective data of tree species DNA, PROTEIN sequences which are deposited in various biological databases [15-17]. Analysis was done for all tree species and such 330 results placed in different section. Information were collected for 31 tree species with respect to its general description, taxonomical