Function categories analysis about targets of NANOG and miRNAs in PIR.

Figshare2015-12-02 更新2026-04-29 收录

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Function categories analysis about targets of NANOG and miRNAs in PIR.

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2015-12-02

Master regulators and cofactors of human neuronal cell fate specification identified by CRISPR gene activation screens [CAS_TF_sgASCL1_Screen_AmpliconSeq]. Master regulators and cofactors of human neuronal cell fate specification identified by CRISPR gene activation screens [CAS_TF_sgASCL1_Screen_AmpliconSeq]

神经元细胞命运编程

调控网络分析

Technologies to reprogram cell-type specification have revolutionized the fields of regenerative medicine and disease modeling. Currently, the selection of fate-determining factors for cell reprogramm

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Punica granatum Transcriptome. Punica granatum

果实发育转录组

调控网络分析

Fruits of 'Taishanhong' pomegranate at developmental stages S1, S2 and S3 were collected, of which mRNA from peels was sequenced by Illumina HiSeq 4000, respectively. Transcriptomes were used to eluci

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comparison_col0vsskp2-Functional analysis of the SKP2 and CUL4 proteins

蛋白质功能研究

调控网络分析

rs04-04_skp2_cul4 - comparison_col0vsskp2 - Antisense and mutants of the SKP2 and CUL4 genes are compared to the Wt in order to identify the genes controlled by those SCF proteins. - Comparison Col0 v

NIAID Data Ecosystem30

DCGL v2.0: An R Package for Unveiling Differential Regulation from Differential Co-expression

调控网络分析

转录因子功能研究

MotivationDifferential co-expression analysis (DCEA) has emerged in recent years as a novel, systematic investigation into gene expression data. While most DCEA studies or tools focus on the co-expres

Figshare2016-01-18 更新40

Data_Sheet_3_Dynamic TF-lncRNA Regulatory Networks Revealed Prognostic Signatures in the Development of Ovarian Cancer.PDF

卵巢癌生物标志物

调控网络分析

The pathological development of ovarian cancer (OC) is a complex progression that depends on multiple alterations of coding and non-coding genes. Therefore, it is important to capture the transcriptio

NIAID Data Ecosystem30

Function categories analysis about targets of NANOG and miRNAs in PIR.

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