![]() ![]() The whole-genome alignment of the four plastomes showed no structural variations when comparing Pleurothallidinae and Laeliinae species, but we detect deletion of the ndhF, ndhA, ndhI genes and a reduction in length of ndhH and ndhG in Cattleya crispata. ![]() The genes accD, ndhA, ndhB, ndhF have premature stop codons that may be related to a pseudogenization process and probably produce non-functional proteins. obovata is 155,515 bp in length, with a typical quadripartite structure presenting the following measures: LSC with 83,694 bp, IRs with 26,949 bp each and SSC with 17,923 bp. f., and one Laeliinae: Cattleya coccinea Lindl. In addition, we compared its structure and gene content with two Pleurothallidinae species: Masdevallia coccinea Linden ex Lindl. chloroplast genome (plastome) of Anathallis obovata (Lindl.) Pridgeon & M.W. Here, we sequenced and characterized the complete. Although previous phylogenetic studies suggest the polyphyletism of the genus, there is little information about the group in the literature due to the lack of Anathallis-focused molecular studies and the absence of genomic research in Pleurothallidinae. Both the tools are equipped with user friendly options and provide proper guideline for running.Īnathallis (Pleurothallidinae) is a Neotropical orchid genus with over 150 species. Though SeqMan required more time, memory as well as disk space than that of CLC. It was found that, performance of SeqMan seems better than that of CLC in terms of utility and accuracy. Here we present the performance of CLC and SeqMan for prediction of potential SNPs from human buccal cancer and healthy transcriptome data obtained from Roche 454 sequencing technology based on the software utility, time, memory, disk space and accuracy of results. ![]() There are various tools available for variant discovery produced from NGS data but no study presents the comparison of the SNPs discovery with CLC and SeqMan. Single Nucleotide Polymorphisms (SNPs) are the most abundant form of genetic variation and there is a need to identify SNPs with less time consuming, user-friendly and accu-rate tools so as to minimize the efforts of researchers in analyzing data. Next generation sequencing (NGS) technologies produces very large amount of data at low cost. ![]()
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