Right I see, well fair enough, let me briefly explain what ID theorists mean by information, the video I posted expounds on it in sufficient depth so if its still not clear after this please watch a bit of the video.

We begin with Shannon information or Shannon information theory if you like. Shannon equates information with the reduction of uncertainty. The more uncertainty reduced the more information conveyed. In his theory information and improbability are inversely proportional, which is in a sense intuitive. I can't think of a good example but there are many on the internet. Information is well defined and well quantified, information theorists (or anyone really) can calculate the information conveyed in bits, kilobits, megabits and so on. Richard Dawkins wrote a good article so let me just steal his example.

""So if you know that a baby’s been born, and you want to know what sex it is, is it a boy or a girl, and I tell you it’s a girl, then you’ve received one bit on information, because one bit is the amount of information needed to halve the prior uncertainty of the receiver. The prior uncertainty of the receiver in the case of a baby being born is that it could be a boy or it could be a girl, it’s 50/50, approximately 50/50. So there are two possibilities in the receiver’s mind before the message comes. When the message comes, that’s been divided and there’s only one. That’s one bit of information. That’s a very, very simple example, and what Shannon worked out was how to do the same kind of trick for any message, not just simple messages like it’s a boy or it’s a girl, but any message you like. And information theory, as measured in bits, it’s a logarithmic measure, information theory as measured in bits is used all over the place.""

Shannon information is limited in that it doesn't consider the usefulness of a sequence - GHJKL and HELLO have the same amount of Shannon information as they are both composed of the 26 letter English alphabet so the amount of uncertainty eliminated by each alphabet is equal. However HELLO is an example of functional information - because it correlate with an independently given pattern- The word "Hello" that you already knew from before.

Since at any given cite in the DNA backbone, there is a possibility of four bases the probability of the occurrence of a specific nucleotide at that site is 1/4. For two particular nucleotides the probability equals 1/4 x 1/4, then for three 1/4 x 1/4 x 1/4 and so on. The equation for calculating information is (I = -log2 P) where p = probability. The longer the sequence the more information conveyed and the greater the improbability. (Again this idea is explained in greater detail in the video above).

The so called "confusing" idea of "specified complexity" is simply - an improbable sequence as measure by Shannon's information theory, that conforms to an independently given pattern and has a function. DNA has all these qualities (the information encoded in DNA contains the assemble instruction of proteins as you know) and that's why the origin of life remains a mystery. Based on our uniform experience - the only known cause of specified complexity is intelligence.

Richard Dawkins openly admits that no one knows how the information required for life got there. He just doesn't think the idea of a designer is useful because it raises the question of where did the designer come from? Well at least his honest, and as a materials he says " we may never know how life began". But as a theist , you're rejection of an intervention by God in this particular instance seems strange?