Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 3 de 3
Filtrar
Mais filtros

Base de dados
Tipo de documento
Intervalo de ano de publicação
1.
Bull Math Biol ; 81(2): 431-451, 2019 02.
Artigo em Inglês | MEDLINE | ID: mdl-29392644

RESUMO

Distances between sequences based on their k-mer frequency counts can be used to reconstruct phylogenies without first computing a sequence alignment. Past work has shown that effective use of k-mer methods depends on (1) model-based corrections to distances based on k-mers and (2) breaking long sequences into blocks to obtain repeated trials from the sequence-generating process. Good performance of such methods is based on having many high-quality blocks with many homologous sites, which can be problematic to guarantee a priori. Nature provides natural blocks of sequences into homologous regions-namely, the genes. However, directly using past work in this setting is problematic because of possible discordance between different gene trees and the underlying species tree. Using the multispecies coalescent model as a basis, we derive model-based moment formulas that involve the species divergence times and the coalescent parameters. From this setting, we prove identifiability results for the tree and branch length parameters under the Jukes-Cantor model of sequence mutations.


Assuntos
Modelos Genéticos , Filogenia , Algoritmos , Biologia Computacional , Evolução Molecular , Cadeias de Markov , Conceitos Matemáticos , Modelos Estatísticos , Mutação , Probabilidade , Alinhamento de Sequência/estatística & dados numéricos , Processos Estocásticos
2.
J Cell Sci ; 123(Pt 23): 4095-106, 2010 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-21045111

RESUMO

The endocycle is a variant cell cycle comprised of alternating gap (G) and DNA synthesis (S) phases (endoreplication) without mitosis (M), which results in DNA polyploidy and large cell size. Endocycles occur widely in nature, but much remains to be learned about the regulation of this modified cell cycle. Here, we compared gene expression profiles of mitotic cycling larval brain and disc cells with the endocycling cells of fat body and salivary gland of the Drosophila larva. The results indicated that many genes that are positively regulated by the heterodimeric E2F1-DP or Myb-MuvB complex transcription factors are expressed at lower levels in endocycling cells. Many of these target genes have functions in M phase, suggesting that dampened E2F1 and Myb activity promote endocycles. Many other E2F1 target genes that are required for DNA replication were also repressed in endocycling cells, an unexpected result given that these cells must duplicate up to thousands of genome copies during each S phase. For some EF2-regulated genes, the lower level of mRNA in endocycling cells resulted in lower protein concentration, whereas for other genes it did not, suggesting a contribution of post-transcriptional regulation. Both knockdown and overexpression of E2F1-DP and Myb-MuvB impaired endocycles, indicating that transcriptional activation and repression must be balanced. Our data suggest that dampened transcriptional activation by E2F1-DP and Myb-MuvB is important to repress mitosis and coordinate the endocycle transcriptional and protein stability oscillators.


Assuntos
Ciclo Celular , Proteínas de Ligação a DNA/metabolismo , Regulação para Baixo , Proteínas de Drosophila/metabolismo , Drosophila/metabolismo , Fator de Transcrição E2F1/metabolismo , Proteínas Oncogênicas v-myb/metabolismo , Animais , Proteínas de Ligação a DNA/genética , Drosophila/citologia , Drosophila/genética , Proteínas de Drosophila/genética , Fator de Transcrição E2F1/genética , Mitose , Proteínas Oncogênicas v-myb/genética , Ativação Transcricional
3.
Bioinformation ; 3(7): 296-8, 2009.
Artigo em Inglês | MEDLINE | ID: mdl-19293995

RESUMO

UNLABELLED: Richness is defined as the number of distinct species or classes in a sample or population. Although richness estimation is an important practice, it requires mathematical and computational methods that are challenging to understand and implement. We have developed a web server, RICHness ESTimator (RICHEST), which implements three non-parametric statistical methods for richness estimation. Its user-friendly web interface allows users to analyze and compare their data conveniently over the web. AVAILABILITY: A web server hosting RICHEST is accessible at http://richest.cgb.indiana.edu/cgi-bin/index.cgi and the software is freely available for local installations.

SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA