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This work was focused on studying the potential application of chitosan active films developed to conserve a pastry dough product, modeling the release profile and evaluating the effectiveness of the active agent by extending the product shelf life.
Several management strategies, such as setting maximum allowable catches and size limits, or closing of particular areas, have been developed to conserve individual species of sharks, particularly highly commercial ones [5], [18] [20].
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Novel techniques are developed to accurately conserve component mass and surfactant mass during the evolution.
This chapter describes experiences with the tiger and ecological-education programs developed to help conserve them.
Many methods have been developed to identify conserved sequences across species; however, existing methods only model conservation as a decrease in the rate of mutation and have ignored selection acting on the pattern of mutations.
Sequence analysis of emaravirus genomes revealed the presence of conserved amino acid sequences in the RNA-dependent RNA polymerase gene (RdRp) denoted as pre-motif A, motifs A and C. Degenerate oligonucleotide primers were developed to these conserved sequences and were shown to amplify in reverse transcription-polymerase chain reaction assay (RT-PCR) DNA fragments of 276 bp and 360 bp in size.
In parallel to experimental discovery of regulatory RNAs, computational methods are being developed to identify conserved structural RNA elements likely to be involved in transcriptional and translational control [10].
Various tools have been developed to discover conserved and/or novel miRNAs.
The Consurf algorithm (Ashkenazy et al., 2010), which has been developed to detect conserved positions in proteins, is distinct from template-based methods, but related to our study.
Several methods [ 8- 12] have been developed to identify conserved non-coding sequences that, when tested, often function as regulatory sequences in vivo (reviewed in [ 13]).
In this study, we applied a phylogenetic footprinting approach using the transcription factor binding site locator (TFLOC) algorithm initially developed to detect conserved TFBSs within multiple genome alignments for the University of California, Santa Cruz (UCSC) genome browser [6].
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