Python Programming for Biology: Bioinformatics and Beyond



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[Tim J. Stevens, Wayne Boucher] Python Programming

(mathematics):

Runtime (computing):

Sample mean

(mathematics):

Sample space



(mathematics):

Sample variance



(mathematics):

Scalar product



(mathematics):

Scope (computing):

Scripting (computing):

Search path

A matrix which, when applied to a vector or another matrix (of

suitable size) by means of matrix multiplication, causes a

transformation of coordinates that is a pure rotation.

The time when a computer program is running.

The observed mean, or average value, of a property from a

sample of data.

In probability, the specification of the set possible outcomes

which can occur.

The observed variance of a property from a sample of data.

Also called the dot product. A scalar value, calculated as the

sum of the component-wise product of two vectors (or arrays)

which represents the size of the projection of one vector on to

the other. Equivalent to the product of the length of two vectors

and the cosine of the angle between them

Short for lexical scope, the context within the commands of a

computer program for which a particular variable is defined.

Often discussed in terms of a named variable being local or

global, with respect to a block of code. For example a variable

defined in a Python function is local to the function, i.e. its

name only binds to a value inside the function and using the

same name outside the function actually refers to a different

thing.


The use of a high-level interpreted (i.e. not explicitly compiled)

computer language, like Python, Perl or Unix shell commands,

to create a simple computer program to perform a simple task.

The distinction between what is a script and what is a program

is somewhat blurred for a fully functional language like Python

or Perl, but a script is usually a program to provide an

automated and convenient alternative to something that could be

done by other, more tedious means.

The specification of which locations should be investigated to



(computing):

Secondary structure



(molecular biology):

Seed (computing):

Self-organising map

(machine learning):

Sequence annotation



(bioinformatics):

Sequence complexity



(mathematics):

find a given item, usually within a hierarchical data structure,

such as a file system. With particular reference to Python

modules the search path is effectively a list of directories that

contain the files that describe the modules which can be loaded

into a program to provide extra functionality.

The classification of the local conformation of a biological

polymer chain, which generally corresponds to a particular

backbone hydrogen-bonding pattern with characteristic

backbone dihedral (twist) angles. The term is generally used for

proteins, where the common secondary-structure types are

(right-handed) alpha-helix and extended beta-strand (which

form beta-sheets).

With reference to random numbers, the seed is an arbitrary

number which is used to start a pseudorandom number-

generating algorithm. The seeds themselves are often quite

random, but the use of the same seed, in what otherwise appears

to be a random process, is important for determinism, i.e. the

same seed gives reproducible pseudorandom output, which is

useful for testing software.

Also called a Kohonen map. A kind of unsupervised neural

network that operates by arranging data, represented as vectors,

in a grid (i.e. a map of low dimensionality) to arrange the data

into a simpler form that preserves the distinction and similarity

between items. It can be used to automatically cluster data and

map it to fewer dimensions; this is similar to what principal

component analysis does, but does not assume any underlying

distribution in the data.

The mechanism of ascribing a biological sequence with further

information, typically describing what its function and relation

to other sequences are.

A measure of how random or non-random a sequence is. This is

related to the concept of information entropy (see above). A

repetitive sequence, where only a few kinds of residue from the

total available are present, is deemed to have low complexity;

less information is needed to encode it and so it is easier to

generate at random.



Sequence identity


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