Zobrazeno 1 - 10
of 658
pro vyhledávání: '"Milanesi Luciano"'
Publikováno v:
Journal of Integrative Bioinformatics, Vol 7, Iss 3, Pp 331-345 (2010)
The identification of genes and SNPs involved in human diseases remains a challenge. Many public resources, databases and applications, collect biological data and perform annotations, increasing the global biological knowledge. The need of SNPs prio
Externí odkaz:
https://doaj.org/article/cdc7da5b0811452bbe9b5b46955d54af
Autor:
Mitra Chanchal K., Milanesi Luciano
Publikováno v:
Journal of Integrative Bioinformatics, Vol 5, Iss 2, Pp 201-207 (2008)
A new look at the transcription start is presented in which we can see transcription factors binding to both sides of the TSS as an essential requirement. Naturally the factor binding to the downstream region must be removed so that transcription pro
Externí odkaz:
https://doaj.org/article/ec36644097634ba59ae1df6c1adab162
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 12, p I1 (2009)
Abstract In this paper we provide an introduction to the techniques for multi-scale complex biological systems, from the single bio-molecule to the cell, combining theoretical modeling, experiments, informatics tools and technologies suitable for bio
Externí odkaz:
https://doaj.org/article/4c3ed1ab804a4a6685513f829c39d4f0
Autor:
Milanesi Luciano, Del Corvo Marcello, Stella Alessandra, Caprera Andrea, Merelli Ivan, Lazzari Barbara
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 12, p S2 (2009)
Abstract Background The NCBI dbEST currently contains more than eight million human Expressed Sequenced Tags (ESTs). This wide collection represents an important source of information for gene expression studies, provided it can be inspected accordin
Externí odkaz:
https://doaj.org/article/85c3d3e756c74ad88c4bd31c0714d282
Autor:
Zucchi Ileana, Reinbold Rolland A, Vilardo Laura, Piscitelli Eleonora, Bertoli Gloria, Mosca Ettore, Milanesi Luciano
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 12, p S8 (2009)
Abstract Background The identification of the organisation and dynamics of molecular pathways is crucial for the understanding of cell function. In order to reconstruct the molecular pathways in which a gene of interest is involved in regulating a ce
Externí odkaz:
https://doaj.org/article/a192f8b804764f6eabdec508d511eaff
Autor:
La Rocca Giuseppe, Falzone Alberto, Donvito Giacinto, Barbera Roberto, Milanesi Luciano, Maggi Giorgio, Vicario Saverio
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 6, p S21 (2009)
Abstract Background Grid technology is the computing model which allows users to share a wide pletora of distributed computational resources regardless of their geographical location. Up to now, the high security policy requested in order to access d
Externí odkaz:
https://doaj.org/article/d735316d381446fcb18730afaa87d226
Autor:
Francesconi Mirko, Remondini Daniel, Neretti Nicola, Sedivy John M, Cooper Leon N, Verondini Ettore, Milanesi Luciano, Castellani Gastone
Publikováno v:
BMC Bioinformatics, Vol 9, Iss Suppl 4, p S9 (2008)
Abstract Background Significance analysis at single gene level may suffer from the limited number of samples and experimental noise that can severely limit the power of the chosen statistical test. This problem is typically approached by applying pos
Externí odkaz:
https://doaj.org/article/6f444d97d64346289f66757fe40f67eb
Autor:
Viti Federica, Merelli Ivan, Caprera Andrea, Lazzari Barbara, Stella Alessandra, Milanesi Luciano
Publikováno v:
BMC Bioinformatics, Vol 9, Iss Suppl 4, p S4 (2008)
Abstract Background Tissue MicroArray technique is becoming increasingly important in pathology for the validation of experimental data from transcriptomic analysis. This approach produces many images which need to be properly managed, if possible wi
Externí odkaz:
https://doaj.org/article/1b0c33453d2f41de8216b7f9bf785589
Publikováno v:
BMC Bioinformatics, Vol 9, Iss Suppl 2, p S13 (2008)
Abstract Background Recent progresses in genotyping technologies allow the generation high-density genetic maps using hundreds of thousands of genetic markers for each DNA sample. The availability of this large amount of genotypic data facilitates th
Externí odkaz:
https://doaj.org/article/f0855a7e42344001b23ccccf04a87d3d
Autor:
D'Ursi Pasqualina, Marino Francesca, Caprera Andrea, Milanesi Luciano, Faioni Elena M, Rovida Ermanna
Publikováno v:
BMC Bioinformatics, Vol 8, Iss Suppl 1, p S11 (2007)
Abstract Background Activated Protein C (ProC) is an anticoagulant plasma serine protease which also plays an important role in controlling inflammation and cell proliferation. Several mutations of the gene are associated with phenotypic functional d
Externí odkaz:
https://doaj.org/article/f66621f3304e4cff902df944349eef74