I and III.
Chargaff's law and Rosalind Franklin's discoveries
Answer: Option D.
There is not enough information to know way the fruit will look like.
Explanation:
Rootstock is the underground part that is inside the soil.
The scion is the above part that is normally grafted to the rootstock. The scion develop into shoots and give rise to plant leaves, fruits, flowers e.t.c.
Scion is chosen base on the desired characteristics you want the plants to be.
Scion can be choose to get large fruits or pink flowers e.t.c.
The above question did not state what type of scion was chosen or used to produce a desired fruit.
Hello
The correct answer is crossover because mitosis is he reproduction of daughter cells and mutations can help evolution and sexual reproduction is helpful to changing for evolution
So the answer is C. Crossover
Hope this helps
Plz mark me as brainist or verified answer Thanks!!!!
Answer:
I would say deal with it at a calmer moment.
Explanation:
Explanation:
B io Analytical workflows differ from the conventional laboratory workflows in many ways. While, Bio Analytical workflows are study centric, the conventional workflows are sample centric. Hence a generic informatics solution cannot be customized or configured to meet the Bio analytical needs. This demands informatics solutions to be created from core, suiting exactly the Bio Analytical needs. Besides, data and meta data associated with the Bio Analytical samples, subjects are to be tracked with audit trails for Quality Assurance and regulatory requirements. Validation of the system is mandatory for regulatory Bio Analysis. This is difficult when a generic informatics solution is tried for Bio Analytical work. Along with the processed data, raw data, subject information, clinical data, sample repository and movement are also to be managed for a comprehensive study. So far, LIMS, ELN and SDMS solutions are available which are, interfaced to provide the seamless access of raw data of instrument within LIMS system. However, the clinical data, subject management information, sample preparation steps in the laboratory are still handled either in paper based system or automated systems that are silos. Efforts have been made to make the multiple systems seamlessly interfaced with validation, to provide access to the relevant data from different informatics systems. Two implementations are discussed and the future of real ?paper less laboratory? is also briefly discussed which eliminates the need of multiple system management
