About: Timothy L. Bailey

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

biomedical researcher

Attributes	Values
rdf:type	Item
description	forskare (sv) araştırmacı (tr) wetenschapper (nl) дослідник (uk) वैज्ञानिक (hi) biomedical researcher (en)
rdfs:label	Timothy L. Bailey (en) Timothy L. Bailey (es) Timothy L. Bailey (nl) Timothy L. Bailey (sl) Timothy L. Bailey (ast)
skos:prefLabel	Timothy L. Bailey (en) Timothy L. Bailey (es) Timothy L. Bailey (nl) Timothy L. Bailey (sl) Timothy L. Bailey (ast)
name	Timothy L. Bailey (en) Timothy L. Bailey (es) Timothy L. Bailey (nl) Timothy L. Bailey (sl) Timothy L. Bailey (ast)
Scopus author ID	wds:Q57958471-5120a538-45eb-0a37-e44e-f80800205c7c
Scopus author ID	7201376104
given name	wds:Q57958471-191f8cdd-456c-f50e-9396-dd176ea3bbb1
given name	Timothy
instance of	wds:Q57958471-393f2393-4594-b8c7-0367-aa7da310128d
instance of	Homo sapiens
ResearchGate profile ID	wds:Q57958471-6b698058-4746-713a-5403-d6e35e87e9d4
ResearchGate profile ID	Timothy_Bailey6
Google Scholar author ID	wds:Q57958471-023a6619-4e60-cd91-d202-1aa3691d3bea
Google Scholar author ID	0fcJxFEAAAAJ
skos:altLabel	Timothy Bailey (en) Timothy L Bailey (en)
occupation	wds:Q57958471-3b3df9fc-43a8-65ed-95d8-ea9fcb8b2418
employer	wds:Q57958471-dd1120c6-42c9-b598-17f8-f54b36484076 wds:Q57958471-f121af79-40be-b49c-5e40-6a61d4eb9e22
sex or gender	wds:Q57958471-e9d93201-4f41-3c01-2f7c-0921e9ca70cf
DBLP author ID	wds:Q57958471-228a965a-47f7-fcc2-6c86-287097d05724
educated at	wds:Q57958471-445f6b2a-4fc9-7171-2c8a-4c457d7bd35a wds:Q57958471-62578e62-4df5-2b88-2a0f-f09304c50e97
family name	wds:Q57958471-c8f438fc-4998-252f-6169-e09720b59ed8
DBLP author ID	https://dblp.org/pid/03/6212.rdf
occupation	researcher
employer	University of Queensland University of Nevada, Reno
sex or gender	male
DBLP author ID	03/6212
educated at	University of California, San Diego Stanford University
family name	Bailey
ORCID iD	wds:Q57958471-58b980a3-4df4-a612-afa7-90f746aef450
ORCID iD	https://orcid.org/0000-0002-7018-9342
ORCID iD	0000-0002-7018-9342
ResearcherID	wds:Q57958471-e5de35c7-4719-7c4b-a208-8de92c47d85a
Publons author ID	wds:Q57958471-d318836b-0c08-4fdc-833d-4a5455af7242
ResearcherID	J-2403-2014
Publons author ID	2503401
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q57958471
is author of	The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line. A global role for KLF1 in erythropoiesis revealed by ChIP-seq in primary erythroid cells Motif-based analysis of large nucleotide data sets using MEME-ChIP. MEME-ChIP: motif analysis of large DNA datasets Discovering novel sequence motifs with MEME. Inferring direct DNA binding from ChIP-seq Differential motif enrichment analysis of paired ChIP-seq experiments Optimizing static thermodynamic models of transcriptional regulation Quantifying similarity between motifs Combining evidence using p-values: application to sequence homology searches Discovering sequence motifs Splicing bypasses 3' end formation signals to allow complex gene architectures Methods and statistics for combining motif match scores Novel roles for KLF1 in erythropoiesis revealed by mRNA-seq MEME: discovering and analyzing DNA and protein sequence motifs Pseudo-messenger RNA: phantoms of the transcriptome The value of prior knowledge in discovering motifs with MEME. EMX1 regulates NRP1-mediated wiring of the mouse anterior cingulate cortex. Statistical confidence estimation for Hi-C data reveals regulatory chromatin contacts Practical guidelines for the comprehensive analysis of ChIP-seq data Cyclic Peptides Arising by Evolutionary Parallelism via Asparaginyl-Endopeptidase-Mediated Biosynthesis Meta-MEME: motif-based hidden Markov models of protein families Fitting a mixture model by expectation maximization to discover motifs in biopolymers MEME SUITE: tools for motif discovery and searching FIMO: scanning for occurrences of a given motif Hidden Markov model analysis of motifs in steroid dehydrogenases and their homologs Inferring transcription factor complexes from ChIP-seq data Prediction of novel long non-coding RNAs based on RNA-Seq data of mouse Klf1 knockout study GONOME: measuring correlations between GO terms and genomic positions High-throughput chromatin information enables accurate tissue-specific prediction of transcription factor binding sites DREME: motif discovery in transcription factor ChIP-seq data Assessing computational tools for the discovery of transcription factor binding sites Defining the RGG/RG motif Potential in vivo roles of nucleic acid triple-helices Motif Enrichment Analysis: a unified framework and an evaluation on ChIP data Identifying sequence regions undergoing conformational change via predicted continuum secondary structure. Prediction of protein B-factor profiles. STREAM: Static Thermodynamic REgulAtory Model of transcription Studying the functional conservation of cis-regulatory modules and their transcriptional output The abundance of short proteins in the mammalian proteome Discrimination of non-protein-coding transcripts from protein-coding mRNA.

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