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Determining the C-terminal amino acid of a peptide from MS/MS data
(Proteomass Scientific Society, 2013-12)
Proteomics is currently chiefly based on mass spectrometry (MS) which is the tool of choice to investigate proteins. Two computational approaches to derive the tandem mass spectrum precursor’s sequence are widely employed. ...
One step forward, two steps back; Xeno-MicroRNAs reported in breast milk are artifacts
(Public Library of Science, 2016-01)
Background: MicroRNAs (miRNAs) are short RNA sequences that guide post-transcriptional regulation of gene expression via complementarity to their target mRNAs. Discovered only recently, miRNAs have drawn a lot of attention. ...
Newly developed SSR markers reveal genetic diversity and geographical clustering in spinach (Spinacia oleracea)
(Springer, 2017-08)
Spinach is a popular leafy green vegetable due to its nutritional composition. It contains high concentrations of vitamins A, E, C, and K, and folic acid. Development of genetic markers for spinach is important for diversity ...
Categorization of species based on their microRNAs employing sequence motifs, information-theoretic sequence feature extraction, and k-mers
(Springer, 2017-12)
Background: Diseases like cancer can manifest themselves through changes in protein abundance, and microRNAs (miRNAs) play a key role in the modulation of protein quantity. MicroRNAs are used throughout all kingdoms and ...
The expressed MicroRNA-mRNA interactions of Toxoplasma gondii
(Frontiers Media S.A., 2018-01)
MicroRNAs (miRNAs) are involved in post-transcriptional modulation of gene expression and thereby have a large influence on the resulting phenotype. We have previously shown that miRNAs may be involved in the communication ...
On the performance of pre-microRNA detection algorithms
(Nature Publishing Group, 2017-12)
MicroRNAs are crucial for post-transcriptional gene regulation, and their dysregulation has been associated with diseases like cancer and, therefore, their analysis has become popular. The experimental discovery of miRNAs ...
Delineating the impact of machine learning elements in pre-microRNA detection
(PeerJ Inc., 2017)
Gene regulation modulates RNA expression via transcription factors. Posttranscriptional gene regulation in turn influences the amount of protein product through, for example, microRNAs (miRNAs). Experimental establishment ...
Transcriptomic analysis of boron hyperaccumulation mechanisms in Puccinellia distans
(Elsevier, 2018-05)
Puccinellia distans, common alkali grass, is found throughout the world and can survive in soils with boron concentrations that are lethal for other plant species. Indeed, P. distans accumulates very high levels of this ...
Intersection of MicroRNA and gene regulatory networks and their implication in cancer
(Bentham Science Publishers, 2014-09)
MicroRNAs (miRNAs) have attracted heightened attention for their role as post-transcriptional regulators of gene expression. It has become clear that miRNAs can both up- and downregulate protein expression. According to ...
Development of genomic simple sequence repeat markers in faba bean by next-generation sequencing
(Springer, 2017-02)
Faba bean (Vicia faba L.) is an important food legume crop with a huge genome. Development of genetic markers for faba bean is important to study diversity and for molecular breeding. In this study, we used Next Generation ...
