P-Match: transcription factor binding site search by combining patterns and weight matrices. - Test2 - elhamkhani - TriplyDB

P-Match: transcription factor binding site search by combining patterns and weight matrices.

P-Match: transcription factor binding site search by combining patterns and weight matrices.

http://www.wikidata.org/entity/Q24812908

about

ExtraTrain: a database of Extragenic regions and Transcriptional information in prokaryotic organisms TRANSFAC and its module TRANSCompel: transcriptional gene regulation in eukaryotes Analysis of Genomic Sequence Motifs for Deciphering Transcription Factor Binding and Transcriptional Regulation in Eukaryotic Cells Genomic sequencing of a dyslexia susceptibility haplotype encompassing ROBO1.Myeloid zinc finger 1 (Mzf1) differentially modulates murine cardiogenesis by interacting with an Nkx2.5 cardiac enhancer Intronic cis-regulatory modules mediate tissue-specific and microbial control of angptl4/fiaf transcription Coordinated regulation of Myc trans-activation targets by Polycomb and the Trithorax group protein Ash1 Identification of condition-specific regulatory modules through multi-level motif and mRNA expression analysis.LASAGNA: a novel algorithm for transcription factor binding site alignment Effect of positional dependence and alignment strategy on modeling transcription factor binding sites.In silico modelling of hormone response elements In silico comparative genomic analysis of GABAA receptor transcriptional regulation Effective transcription factor binding site prediction using a combination of optimization, a genetic algorithm and discriminant analysis to capture distant interactions.Motif-directed network component analysis for regulatory network inference.Using gene expression databases for classical trait QTL candidate gene discovery in the BXD recombinant inbred genetic reference population: mouse forebrain weight Genome-wide analyses of recombination prone regions predict role of DNA structural motif in recombination.Adaptive variation regulates the expression of the human SGK1 gene in response to stress Salivary gland branching morphogenesis: a quantitative systems analysis of the Eda/Edar/NFkappaB paradigm.Computational analysis of the interaction between transcription factors and the predicted secreted proteome of the yeast Kluyveromyces lactis.Targeted resequencing and analysis of the Diamond-Blackfan anemia disease locus RPS19.Word-based characterization of promoters involved in human DNA repair pathways.Promoter complexity and tissue-specific expression of stress response components in Mytilus galloprovincialis, a sessile marine invertebrate species.Genetic variation in PARL influences mitochondrial content.Processing and analyzing ChIP-seq data: from short reads to regulatory interactions.Network of microRNA, transcription factors, target genes and host genes in human mesothelioma.Fine mapping of the NRG1 Hirschsprung's disease locus Computational identification of transcriptional regulators in human endotoxemia Pregnane X receptor and yin yang 1 contribute to the differential tissue expression and induction of CYP3A5 and CYP3A4.Toward a complete in silico, multi-layered embryonic stem cell regulatory network.Genome-wide association scan identifies a risk locus for preeclampsia on 2q14, near the inhibin, beta B gene.MicroRNA and gene networks in human diffuse large B-cell lymphoma Towards biological characters of interactions between transcription factors and their DNA targets in mammals.Searching for transcription factor binding sites in vector spaces Dynamic transcription factor activity and networks during ErbB2 breast oncogenesis and targeted therapy.Cyclic-AMP mediated regulation of ABCB mRNA expression in mussel haemocytes Natalizumab restores aberrant miRNA expression profile in multiple sclerosis and reveals a critical role for miR-20b.Single-nucleotide mutation matrix: a new model for predicting the NF-κB DNA binding sites.A promoter polymorphism in the Per3 gene is associated with alcohol and stress response.Network analysis of microRNAs and genes in human osteosarcoma.Conserved microRNA miR-8 controls body size in response to steroid signaling in Drosophila.

P2860

Q21263079-3EFBD6C7-62C8-424F-9FAB-72273499ADF5 Q24538709-14CD590C-4756-495C-A8EA-15E3D2AC4656 Q26768509-D4BFD7AF-B9D0-4E18-8F1C-B01B87C2951D Q27320583-B66381BA-0EF0-4E71-A2E5-159904446448 Q27323042-33869386-6053-4250-B281-F0CDCC7743FF Q27334496-BC4414EA-3F84-4431-A250-74DB42F6A1E9 Q28469226-0F746366-EDD8-4137-8C59-23033B7FA7B9 Q30417594-C836DDED-4A2A-44D9-BC93-F4FBFDE89966 Q30543236-8A1299A2-CB9D-4593-A063-807059563E41 Q31070617-6AFD9FDA-0324-4200-83C5-7926A4E73D8E Q33268940-2C4B9FF5-2B1E-4631-9BDC-B795BD22A6C9 Q33289546-70D79C54-2B0D-4C3E-A2C3-7B00C25C75B3 Q33311392-13BD25BF-28B0-40A1-A2FF-8CC8F1A4A936 Q33322210-1FEA6CF1-8136-4FCE-B41B-BA8059AEE1BE Q33371985-BA2F53AE-4B87-4EA9-9DD7-DFA5B0833ADC Q33406506-9F4CAE43-FFC8-4A00-AA0B-555DF3C8CAFD Q33450579-9CA29B4A-EAD7-414D-BA73-6139F6214FFC Q33461893-9C828C95-F730-4F4B-B47E-A285F2EEA6A9 Q33474576-B9C1C5F7-E775-40D8-82C7-D85AF604F3A1 Q33480010-ACA61AE6-699C-4ACE-855E-824F83C9EFE9 Q33481229-8CFB504B-D8C2-4CCA-84C5-E76DC8A266D5 Q33632258-60B9159E-0F63-44F9-9CEF-FC0287FB2800 Q33691714-96087386-36DF-42A2-930A-4438ED21FDAB Q33699592-1D1BF45A-D5FF-40D8-8135-CB64D8FA71F7 Q33744408-3299E093-5D5D-448D-96E8-5490E2E53D71 Q33809286-C8180948-4E84-410E-850B-F7B9DE1BF891 Q33921020-2F3B1C4D-7926-4393-B23A-5FDDD110809E Q34146529-C7547643-864A-4843-81BD-AA67EB9D7C64 Q34181781-E10E08C5-DFF3-4910-BC39-6BF0FE77CA60 Q34202996-3D313E06-1BCE-449A-AF10-B8427EB73026 Q34293107-C47D870A-34DC-40B7-8E84-C369C34CADD7 Q34378219-52A7E88C-136E-4DD6-8502-741145F0EDB4 Q34514069-3FE29735-99FB-4E9F-8832-4E5E4C1A6B35 Q34543685-09D1C7F7-FC2F-43D3-A6D3-6039B911A017 Q34675010-0D352AAE-5E0E-496B-B65E-2C2D3D712D25 Q34994463-A4F5669B-457A-466F-B408-8A0A41F0F312 Q35200773-05177DC0-C612-45E0-A865-9C28BB8181C1 Q35844303-71A402BC-CEEC-45F0-95C0-F541EABAB22E Q36081276-6F61F82D-0934-465F-A95E-337434667762 Q36110899-3EADB130-0613-4837-9994-688256E49778

P2860

P-Match: transcription factor binding site search by combining patterns and weight matrices.

http://www.wikidata.org/entity/Q24812908

description

2005 nî lūn-bûn

@nan

2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած

@hyw

2005 թվականի հուլիսին հրատարակված գիտական հոդված

@hy

2005年の論文

@ja

2005年論文

@yue

2005年論文

@zh-hant

2005年論文

@zh-hk

2005年論文

@zh-mo

2005年論文

@zh-tw

2005年论文

@wuu

name

P-Match: transcription factor ...... g patterns and weight matrices

@nl

P-Match: transcription factor ...... patterns and weight matrices.

@ast

P-Match: transcription factor ...... patterns and weight matrices.

@en

type

label

P-Match: transcription factor ...... g patterns and weight matrices

@nl

P-Match: transcription factor ...... patterns and weight matrices.

@ast

P-Match: transcription factor ...... patterns and weight matrices.

@en

prefLabel

P-Match: transcription factor ...... g patterns and weight matrices

@nl

P-Match: transcription factor ...... patterns and weight matrices.

@ast

P-Match: transcription factor ...... patterns and weight matrices.

@en

P1433

Q24812908-673CA214-560B-47E8-B234-7BF0EB16EDAB

P1476

Q24812908-2EED7947-D5D1-4A3C-936F-0C192644F8C3

P2093

Q24812908-355BC928-9577-4F4E-8AF8-149549262FB1

Q24812908-52F488C3-C688-4920-9247-CC76CB8F865B

Q24812908-AAB35FB9-7E9A-4D5E-A457-C1045A3EBFCB

P2860

Q24812908-03842802-B106-4C31-9BA2-62C37447549B

Q24812908-26CF671E-FB3B-404D-AA6E-7B64A8B58ACB

Q24812908-4FA68487-D5C6-4C71-BD49-4345CA949668

Q24812908-597A27B9-A064-4C3A-B578-3D88AC0767D5

Q24812908-78ACE89A-E1C6-4AF3-94C2-E623F9D60A45

Q24812908-79656DE2-8EDD-4CA6-9A4F-90A56A996562

Q24812908-88F5C8ED-DFE0-4ED3-9AC7-5DB3D7AA8F49

Q24812908-8AAA0DB3-8A97-40F1-A82E-EC1BCBE0E321

Q24812908-9205935E-FCDC-437B-85FD-2E00A08477A4

Q24812908-931B83E5-DCCA-41C9-8BA6-FF21EF5A0594

P304

Q24812908-C21F74EB-675E-43C3-BE22-2FA673913DD1

P31

Q24812908-3E8914B1-63DC-4CE7-B458-0881F934A290

P356

Q24812908-56B6E365-BF62-4599-BF62-F1EEE4F0BB49

P407

Q24812908-57A571F4-A932-4F06-9171-8A7D00EB0167

P433

Q24812908-2BD91EB7-4403-48DF-8F4C-740B3FD540A0

P478

Q24812908-6B3FFCE2-7B4D-41E7-B82F-9AEC5AEA350F

P577

Q24812908-76045A0D-F0D4-4EC3-B02F-9192242FD5B2

P5875

Q24812908-74B4E555-5B9D-4C8F-B417-D40695C9D432

P698

Q24812908-1B365D74-F351-4842-8E35-CBE7024F14F8

P932

Q24812908-85380C37-72DB-41E4-8F6E-907915713960

P356

P1433

Nucleic Acids Research

P1476

P-Match: transcription factor ...... patterns and weight matrices.

@en

P2093

A E Kel

http://www.w3.org/2001/XMLSchema#string

C Haid

http://www.w3.org/2001/XMLSchema#string

D S Chekmenev

http://www.w3.org/2001/XMLSchema#string

P2860

DNA binding sites: representation and discovery

TRANSFAC: transcriptional regulation, from patterns to profiles

MatInd and MatInspector: new fast and versatile tools for detection of consensus matches in nucleotide sequence data

Detecting subtle sequence signals: a Gibbs sampling strategy for multiple alignment

Transcription regulatory region analysis using signal detection and fuzzy clustering.

Regulatory elements and expression profiles.

Discovery and modeling of transcriptional regulatory regions.

TRANSPATH: an integrated database on signal transduction and a tool for array analysis

Computer tool FUNSITE for analysis of eukaryotic regulatory genomic sequences.

Deriving an ontology for human gene expression sources from the CYTOMER database on human organs and cell types.

P304

W432-7

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1093/NAR/GKI441

http://www.w3.org/2001/XMLSchema#string

P407

P433

Web Server issue

http://www.w3.org/2001/XMLSchema#string

P478

33

http://www.w3.org/2001/XMLSchema#string

P577

2005-07-01T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

7762375

http://www.w3.org/2001/XMLSchema#string

P698

15980505

http://www.w3.org/2001/XMLSchema#string

P932

1160202

http://www.w3.org/2001/XMLSchema#string