about
Ab initio identification of putative human transcription factor binding sites by comparative genomicsCorrelating overrepresented upstream motifs to gene expression: a computational approach to regulatory element discovery in eukaryotesComputational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrepresented upstream motifsThe role of Transposable Elements in shaping the combinatorial interaction of Transcription FactorsCorrelated fragile site expression allows the identification of candidate fragile genes involved in immunity and associated with carcinogenesis.Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions.Identification of DNA-binding protein target sequences by physical effective energy functions: free energy analysis of lambda repressor-DNA complexes.Molecular models for intrastrand DNA G-quadruplexes.Identification of functional TFAP2A and SP1 binding sites in new TFAP2A-modulated genesOrdered structure of the transcription network inherited from the yeast whole-genome duplication.A curated database of miRNA mediated feed-forward loops involving MYC as master regulator.The role of incoherent microRNA-mediated feedforward loops in noise buffering.Genome-wide survey of microRNA-transcription factor feed-forward regulatory circuits in human.Deep sequencing of the X chromosome reveals the proliferation history of colorectal adenomas.Gene autoregulation via intronic microRNAs and its functionsA combination of transcriptional and microRNA regulation improves the stability of the relative concentrations of target genes.miR-214 and miR-148b Targeting Inhibits Dissemination of Melanoma and Breast Cancer.MicroRNA-mRNA interactions underlying colorectal cancer molecular subtypes.Detection of gene communities in multi-networks reveals cancer drivers.A new computational approach to analyze human protein complexes and predict novel protein interactions.Genome-wide activity of unliganded estrogen receptor-α in breast cancer cells.Identity and divergence of protein domain architectures after the yeast whole-genome duplication event.Alteration of ROS homeostasis and decreased lifespan in S. cerevisiae elicited by deletion of the mitochondrial translocator FLX1.Interplay of microRNA and epigenetic regulation in the human regulatory network.A new approach for the identification of processed pseudogenes.Entropic contributions to the splicing process.Molecular and morphologic characterization of superficial- and deep-subcutaneous adipose tissue subdivisions in human obesity.Dynamic modeling of miRNA-mediated feed-forward loops.Universal power law behaviors in genomic sequences and evolutionary models.Line defects in the 3d Ising modelA new class of solutions of the Dorokhov–Mello–Pereyra–Kumar equationIdentification of microRNA clusters cooperatively acting on Epithelial to Mesenchymal Transition in Triple Negative Breast CancerNon-analyticity of the Callan-Symanzik β-function of two-dimensional O(N) modelsHorizontal gene transfers as metagenomic gene duplicationsDeconfinement transition in large-N lattice gauge theoryTwo-dimensional QCD is a one-dimensional Kazakov-Migdal modelKazakov-Migdal induced gauge theory and the coupling of 2d quantum gravity to d=1 matterThe Kazakov-Migdal model as a high temperature lattice gauge theoryExact solution of D = 1 Kazakov-Migdal induced gauge theorym6A-Dependent RNA Dynamics in T Cell Differentiation
P50
Q24801141-FD15B56D-7665-489C-8753-43C74AA01C17Q24803044-B256622D-D4CA-41F9-8EDB-A318843D9379Q24803152-8D15DFF4-7BD0-4DEE-8AEC-DAE45C1AA54CQ28715946-4F3FCAF6-C226-48B3-ACD3-F091671F821CQ30823632-C112F960-EBC2-46D1-A142-F5283431A142Q33285699-888F5A0E-17BA-42C8-A4B8-CA4054F4BEB2Q33300586-F4A268D2-606B-414A-946A-226122C1CF93Q33509185-99C0AAB7-D31D-48E9-9702-4A3F9F644800Q33595109-D588C874-D3D6-411A-A177-3ACA0AD18BB2Q33595119-1685EE39-CC92-46A8-A7EC-1E5906FAB4A9Q33842005-5BE8E54B-84E4-4051-A338-02DB76276B63Q33851558-511CBA88-3B75-4936-9ECE-AF6EB4E66AA1Q33968199-B05A4A6B-5C2B-48A4-8238-457AB33BA765Q34273166-75E00DD3-B142-4A8A-8F4B-7C82BA737F1AQ34439121-57F31A44-3691-48AB-8BDC-C39A6588FF6EQ35105592-99FD4390-4313-4956-9D4A-F3EBDA6F87CEQ36058142-594B7613-7E1D-4298-BC4C-FBECC15FE886Q36320483-4890167A-76C2-4422-995D-35C888234B95Q36350132-C2C8826F-9B8D-4D75-ABD6-C397CCB0C5A5Q36465531-DE1C79EF-843B-4D95-A86F-8CD1F5B919ECQ37687555-132D01B2-DD75-4E2D-B930-C23ED3DFCFF0Q38505189-A810BB38-1F80-4664-8417-263264966528Q39934074-1FD2EBDB-436F-4122-B089-CD2318ED87E7Q41895297-78330295-657B-49C1-93C6-DA3C4E706125Q48064682-E847258C-8979-49BB-9337-650C01818B0DQ48245438-342A2112-44EC-4A6E-9888-BF272E3BC5A1Q51260798-0E3F5030-5378-4DDE-A147-FB7500C385DBQ51432128-615294BC-59E4-4A37-8E2C-E51CA2056D43Q51904159-92446327-7E6E-4432-8090-6417BE3A3D1FQ56212867-84AD78A1-2187-49DA-86BD-A452C71F257CQ56806173-D9E07A09-92F4-49DB-A210-D5A613CE32A5Q56999213-1C4CD677-FBF9-4A61-A4AC-47D711C03CE1Q57076848-9835013D-90B9-4E85-BC0C-448A1677CF15Q57251599-7C6A1991-81EE-4EAD-9228-F7C789672986Q57831422-F5C665DC-F5C6-4DF4-B899-C7B5FB44B0EDQ57831423-0F64877E-C3E1-4B00-9CFA-97BE6A2856B5Q57831427-E8D9E494-9836-4DE3-B90D-017CC997D779Q57831428-FF8397ED-3175-4E59-BB00-0BD85D578022Q57831430-D2931D54-0249-4CD7-9189-6ED1B7FFCAE9Q61801547-A6ED663D-3601-4A16-8481-C0783C51ACBC
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Michele Caselle
@ast
Michele Caselle
@en
Michele Caselle
@es
Michele Caselle
@fr
Michele Caselle
@sl
type
label
Michele Caselle
@ast
Michele Caselle
@en
Michele Caselle
@es
Michele Caselle
@fr
Michele Caselle
@sl
prefLabel
Michele Caselle
@ast
Michele Caselle
@en
Michele Caselle
@es
Michele Caselle
@fr
Michele Caselle
@sl
P1053
E-3724-2013
P106
P21
P31
P3829
P496
0000-0001-5488-142X