Exact(5)
Simultaneously update the modification tables based on the current state.
Based on the number specified, as many objects are created – Blocks (promoters/genes/ isolator/Introns/silencer), nucleosomes, nine histone types (default) and modification tables for each histone.
(Figure 1) Optional Parameters: DNA methylation and histone states preferred by the user (in which Block, nucleosome and at what iteration/time-step) Create Objects Based on the number specified, as many objects are created – Blocks (promoters/genes/ isolator/Introns/silencer), nucleosomes, nine histone types (default) and modification tables for each histone.
For specific time-intervals, record the transcription rate (using equations 1(a), b) and (c)), and after each time-step calculate the DNA methylation value (based on the modification tables Ð calculated as mentioned above or by taking the value specified by the user in a desired time-step).
Approximately 20% of the sequences have a modification (Tables 1 and S1).
Similar(55)
The chemical assemble of polymer was carried out using the oligomers with different chain length controlled by the ratio of polymer (PMPS) and depolymerisation agent (DMC) at each stage of modification (Table 1).
Open image in new window Fig. 2 N2 sorption curves of USY3 before and after modification Open image in new window Fig. 3 Pore distributions of USY3 before and after modification Table 4 The pore properties of USY3 before and after modification Item Surface area, m2/g Pore volume, ml/g Before modification 578 0.41 After modification 629 0.44.
The type 1 dolomites (54.3 % 62.6%%, average 59.1 % mol% CaCO3) are typically nonstoichiometric, and the type 2 dolomites have more stoichiometric compositions (50.8 % 55.7%%, average 54.3 % mol% CaCO3) than type 1 dolomites, indicating that these rocks underwent diagenetic modification (Table 2; Fig. 9).
However, it is interesting to note that the lag time with H13G modification increased remarkably compared to the lag time with the H13R modification (Table 1A).
Additional new motifs show functions that are probably not related to development, including nucleotide binding, ATP binding and protein modification (Table S4).
Other seasonal differences in metagenomic profiles were highlighted by SIMPER analysis, including considerably higher winter abundance (compared to spring or summer) of archaeal genes associated with lipid synthesis, thermosome chaperonins, RNA polymerase, small subunit ribosomal proteins, DNA replication and rRNA modification (Table S4).
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