about
FlyFactorSurvey: a database of Drosophila transcription factor binding specificities determined using the bacterial one-hybrid systemComputational identification of diverse mechanisms underlying transcription factor-DNA occupancyIntegrating motif, DNA accessibility and gene expression data to build regulatory maps in an organismComprehensive assembly of novel transcripts from unmapped human RNA-Seq data and their association with cancerQuantitative analysis of the Drosophila segmentation regulatory network using pattern generating potentials.Evidence for deep regulatory similarities in early developmental programs across highly diverged insectsGlobal analysis of Drosophila Cys₂-His₂ zinc finger proteins reveals a multitude of novel recognition motifs and binding determinants.Genome Surveyor 2.0: cis-regulatory analysis in DrosophilaImproved accuracy of supervised CRM discovery with interpolated Markov models and cross-species comparison.Possible Human Papillomavirus 38 Contamination of Endometrial Cancer RNA Sequencing Samples in The Cancer Genome Atlas Database.Opposing roles of STAT1 and STAT3 in IL-21 function in CD4+ T cellsPrediction of breeding values for dairy cattle using artificial neural networks and neuro-fuzzy systems.Widespread evidence of cooperative DNA binding by transcription factors in Drosophila development.Simulations of enhancer evolution provide mechanistic insights into gene regulation.ZSCAN5B and primate-specific paralogs bind RNA polymerase III genes and extra-TFIIIC (ETC) sites to modulate mitotic progressionBACH2 immunodeficiency illustrates an association between super-enhancers and haploinsufficiency.Critical functions for STAT5 tetramers in the maturation and survival of natural killer cells.A new expertness index for assessment of secondary structure prediction engines.Correction: Quantitative Analysis of the Drosophila Segmentation Regulatory Network Using Pattern Generating PotentialsIL-21/type I interferon interplay regulates neutrophil-dependent innate immune responses toKinetics of cytokine receptor trafficking determine signaling and functional selectivityTranscription factor p73 regulates Th1 differentiation
P50
Q24609505-36311070-6B92-492B-B112-000F6D0EB52CQ28535025-D2F518AA-16D6-40C2-914B-31105BAB8E59Q30912655-49920094-0A50-42B7-9E8A-236984865F6AQ30985845-9084F555-EF93-42EF-ABBC-FC899C4C4AB7Q33680989-363CCE29-5F94-496A-A5AE-362775259D50Q34443568-A1104038-75DB-4043-8787-E7E2C1121015Q34614125-F85E25C6-9295-4A14-B6C3-620033C8953BQ35075548-0B9EF203-7307-4D9B-AB3D-69087D2A6391Q35617204-55589D5C-6EA0-46F2-AEBA-B835D9DD059EQ35666752-A5A369FE-57DC-4A56-A3D4-E0FDE8E915AAQ35910035-3F0D9C0B-479D-4B83-A092-A5965D56AE54Q36238960-57636B46-EF72-48F7-B73B-4DD6B30DA62AQ37197823-7BC568AC-4848-41E9-A97E-1289B396EE0BQ37428413-C3355E80-C0CC-4E09-93AC-A1B0D1749C3BQ37684432-6045A2B5-6722-45AB-9BE6-35547E77D223Q40055997-47D12C49-EB82-42D9-86D6-401CBC23AFB5Q47100411-EB66ABC5-DAEE-4DB0-BC59-966C0C81805DQ51075499-46226A43-800E-4FDE-AF4A-E74DB9B410D6Q60538680-9B429A33-6698-4308-BB2D-D674047E0CBDQ64107780-64CBB3F9-8202-4E52-A3CF-27F405DC6001Q83225765-25ABBE0D-9693-4DA3-BF53-06B0801897A6Q90471619-B6AA1083-99A7-413B-AB03-16804B0B5232
P50
description
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Majid Kazemian
@ast
Majid Kazemian
@en
Majid Kazemian
@es
Majid Kazemian
@nl
Majid Kazemian
@sl
type
label
Majid Kazemian
@ast
Majid Kazemian
@en
Majid Kazemian
@es
Majid Kazemian
@nl
Majid Kazemian
@sl
prefLabel
Majid Kazemian
@ast
Majid Kazemian
@en
Majid Kazemian
@es
Majid Kazemian
@nl
Majid Kazemian
@sl
P1053
C-7917-2018
P106
P2456
P31
P3829
P496
0000-0001-7080-8820