نتایج جستجو برای: sequence comparison

تعداد نتایج: 986015  

2011
Rubén Sánchez François Serra Joaquín Tárraga Ignacio Medina José Carbonell Luis Pulido Alejandro de María Salvador Capella-Gutiérrez Jaime Huerta-Cepas Toni Gabaldón Joaquín Dopazo Hernán Dopazo

Phylemon 2.0 is a new release of the suite of web tools for molecular evolution, phylogenetics, phylogenomics and hypotheses testing. It has been designed as a response to the increasing demand of molecular sequence analyses for experts and non-expert users. Phylemon 2.0 has several unique features that differentiates it from other similar web resources: (i) it offers an integrated environment ...

Journal: :محیط زیست جانوری 0
سید نادر آلبوشوکه گروه علوم دامی، پردیس بین الملل، دانشگاه فردوسی، مشهد، صندوق پستی: 331-91735 مجتبی طهمورث پور گروه علوم دامی، دانشکده کشاورزی، دانشگاه فردوسی، مشهد، صندوق پستی: 331-91735 محمدرضا نصیری گروه علوم دامی، دانشکده کشاورزی، دانشگاه فردوسی، مشهد، صندوق پستی: 331-91735

the aim of current study was to investigate the nucleotide sequence of seven trna genes in mitochondrial gene of khorasan’s native chicken and identification of possible mutations in it. for performing it, this part of the gene was cloned using the specific amplification initiators and cloned in the plasmid ptg19-t vector in dh5α strain of e-coli after the sampling and extracting the dna from w...

Journal: :Journal of computational biology : a journal of computational molecular cell biology 2010
Lin Wan Gesine Reinert Fengzhu Sun Michael S. Waterman

Rapid methods for alignment-free sequence comparison make large-scale comparisons between sequences increasingly feasible. Here we study the power of the statistic D2, which counts the number of matching k-tuples between two sequences, as well as D2*, which uses centralized counts, and D2S, which is a self-standardized version, both from a theoretical viewpoint and numerically, providing an eas...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 1998
M Levitt M Gerstein

We present an approach for assessing the significance of sequence and structure comparisons by using nearly identical statistical formalisms for both sequence and structure. Doing so involves an all-vs.-all comparison of protein domains [taken here from the Structural Classification of Proteins (scop) database] and then fitting a simple distribution function to the observed scores. By using thi...

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