In: Computer Science
Gene
prediction:
It is a method to determine the position of a particular coding
gene in the given complete genomic sequence of any organism.
Functional protein sequenced will start with a start codon and end
with a stop codon.
De novo approach
for gene prediction:
It involves statistical models to predict gene structure by using
one or more genomes as their input sequences. It doesnt need any
cDNA sequence or other expressional data for gene prediction. Even
if cDNA sequences are available this technique ignores them and
predicts completely novel genes. In result they are less accurate
than expression based methods of gene prediction which use full
length cDNA sequences.
Sequence
alignment for gene prediction:
Sequence alignment is a technique in which sequences of DNA, RNA or
protein are used to identify the regions of similar structure,
function and evolutionary relationship. In de novo
there is no use of reference sequence for alignment while here
another sequence is used for reference which provides more accurate
result compare to de novo sequencing. Its accuracy
is comparatively higher than de novo because of evolutionary
related genome sequences which reliably increases sensitivity and
specificity of gene prediction.
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