This Is One Criticism of Ham, But I Somewhat Disagree with this Author, Too - Who Was Linked by the Famous Eric Metaxas

"The unique informational narrative of living systems suggests that life may be characterized by context-dependent causal influences, and in particular, that top-down (or downward) causation -- where higher-levels influence and constrain the dynamics of lower-levels in organizational hierarchies -- may be a major contributor to the hierarchal structure of living systems." (Sara Imari Walker and Paul C. W. Davies, "The algorithmic origins of life," Journal of the Royal Society Interface, 10: 20120869 (2012).)

"The record of the first appearance of living phyla, classes, and orders can best be described in Wright's (1) term as 'from the top down'." (James W. Valentine, "Late Precambrian bilaterians: Grades and clades," Proceedings of the National Academy of Sciences USA, 91: 6751-6757 (July 1994).)

System-level understanding, the approach advocated in systems biology, requires a shift in our notion of "what to look for" in biology. While an understanding of genes and proteins continues to be important, the focus is on understanding a system's structure and dynamics. Because a system is not just an assembly of genes and proteins, its properties cannot be fully understood merely by drawing diagrams of their interconnections. Although such a diagram represents an important first step, it is analogous to a static roadmap, whereas what we really seek to know are the traffic patterns, why such traffic patterns emerge, and how we can control them.

Identifying all the genes and proteins in an organism is like listing all the parts of an airplane. While such a list provides a catalog of the individual components, by itself it is not sufficient to understand the complexity underlying the engineered object. We need to know how these parts are assembled to form the structure of the airplane. This is analogous to drawing an exhaustive diagram of gene-regulatory networks and their biochemical interactions. Such diagrams provide limited knowledge of how changes to one part of a system may affect other parts, but to understand how a particular system functions, we must first examine how the individual components dynamically interact during operation. We must seek answers to questions such as: What is the voltage on each signal line? How are the signals encoded? How can we stabilize the voltage against noise and external fluctuations? And how do the circuits react when a malfunction occurs in the system? What are the design principles and possible circuit patterns, and how can we modify them to improve system performance?

(Hiroaki Kitano, "Systems Biology: A Brief Overview," Science, 295 (5560): 1662-1664 (March 1, 2002).)

Self-referential organisation, as we put it here, implies inter-conversion of information between logically distinct coding systems specifying each other reciprocally. Thus, the holistic approach assumes self-referentiality (completeness of the contained information and full consistency of the different codes) as an irreducible organisational complexity of the genetic regulation system of any cell. Put another way, this implies that the structural dynamics of the chromosome must be fully convertible into its genetic expression and vice versa. Since the DNA is an essential carrier of genetic information, the fundamental question is how this self-referential organisation is encoded in the sequence of the DNA polymer.

(Georgi Muskhelishvili and Andrew Travers, "Integration of syntactic and semantic properties of the DNA code reveals chromosomes as thermodynamic machines converting energy into information," Cellular and Molecular Life Sciences, 70 (23): 4555-4567 (December, 2013).)