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Network deciphering
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Gene co-expression evidenced as a response to environmental changes has shown that transcriptional activity is coordinated, which pinpoints the role of transcriptional regulatory networks (TRNs).
12p
vioklahoma2711
19-11-2020
12
2
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Many critical biological processes are strongly related to protein-RNA interactions. Revealing the protein structure motifs for RNA-binding will provide valuable information for deciphering protein-RNA recognition mechanisms and benefit complementary structural design in bioengineering.
13p
vioklahoma2711
19-11-2020
5
0
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Many biological pathways have been created to represent different types of knowledge, such as genetic interactions, metabolic reactions, and gene-regulating and physical-binding relationships. Biologists are using a wide range of omics data to elaborately construct various context-specific differential molecular networks.
9p
viflorida2711
30-10-2020
17
2
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Deciphering complete networks of interactions between proteins is the key to comprehend cellular regulatory mechanisms. A significant effort has been devoted to expanding the coverage of the proteome-wide interaction space at molecular level.
14p
viflorida2711
30-10-2020
19
1
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Protein complexes are one of the keys to deciphering the behavior of a cell system. During the past decade, most computational approaches used to identify protein complexes have been based on discovering densely connected subgraphs in protein-protein interaction (PPI) networks.
14p
viconnecticut2711
28-10-2020
17
1
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Identifying the interactions between proteins and long non-coding RNAs (lncRNAs) is of great importance to decipher the functional mechanisms of lncRNAs. However, current experimental techniques for detection of lncRNA-protein interactions are limited and inefficient.
11p
viconnecticut2711
28-10-2020
11
0
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Deciphering the relationship between clinical responses and gene expression profiles may shed light on the mechanisms underlying diseases. Most existing literature has focused on exploring such relationship from cross-sectional gene expression data.
18p
vicolorado2711
22-10-2020
11
0
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Mass spectrometry (MS) has become a promising analytical technique to acquire proteomics information for the characterization of biological samples. Nevertheless, most studies focus on the final proteins identified through a suite of algorithms by using partial MS spectra to compare with the sequence database, while the pattern recognition and classifcation of raw mass-spectrometric data remain unresolved.
15p
vicolorado2711
22-10-2020
20
1
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The complex cellular networks within tumors, the cytokine milieu, and tumor immune escape mechanisms affecting infiltration and anti-tumor activity of immune cells are of great interest to understand tumor formation and to decipher novel access points for cancer therapy.
13p
vialabama2711
21-09-2020
14
1
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Deciphering the meaning of the human DNA is an outstanding goal which would revolutionize medicine and our way for treating diseases. In recent years, non-coding RNAs have attracted much attention and shown to be functional in part.
15p
vikuala271
13-06-2020
13
2
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Research into gene expression enables scientists to decipher the complex regulatory networks that control fundamental biological processes. Quantitative real-time PCR (qPCR) is a powerful and ubiquitous method for interrogation of gene expression.
14p
viuchiha2711
21-04-2020
14
1
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All higher organisms divide major biochemical steps into different cellular compartments and often use tissue-specific division of metabolism for the same purpose.Such spatial resolution is accompanied with temporal changes of meta-bolite synthesis in response to environmental stimuli or developmental needs.Although analyses of primary and secondary gene products, i.e. transcripts, proteins, and metabolites, regularly do not cope with this spatial and temporal resolution, these gene products are often observed to be highly coregulated forming complex networks....
10p
tumor12
20-04-2013
33
1
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