-
Fisher et al.
proposed the
NovoHMM method of de
novo sequencing. A
hidden Markov model (
HMM) is
applied as a new way to
solve de
novo sequencing in a Bayesian...
- De
novo gene
birth is the
process by
which new
genes evolve from non-coding DNA. De
novo genes represent a
subset of
novel genes, and may be protein-coding...
-
Hamburg International HAMBURG JET
Germany HJL
Hamlin Jet
BIZJET United Kingdom HMM Hamra Air
HAMRA United Arab
Emirates WVA Hand D
Aviation WABASH VALLEY United...
-
profile (Pfam uses
HMMs,
which can be used to
identify other related proteins. A
phylogenic approach can also be used to
enhance the de
novo MEME algorithm...
-
sensitive to
epigenetic changes in the nucleotides, and a
hidden Markov model (
HMM) was used to
analyze MinION data to
detect 5-methylcytosine (5mC) DNA modification...
-
typically use
complex probabilistic models, such as
hidden Markov models (
HMMs) to
combine information from a
variety of
different signal and
content measurements...
- [page needed] Söding J (April 2005). "Protein
homology detection by
HMM-
HMM comparison". Bioinformatics. 21 (7): 951–60. doi:10.1093/bioinformatics/bti125...
-
colleagues using hidden Markov models.
These models have
become known as profile-
HMMs. In
recent years,[when?]
methods have been
developed that
allow the comparison...
- may also be
represented by a
hidden Markov model,
referred to as a
profile HMM.
Profile (structural context) a
scoring matrix that
represents which amino...
- trees,
hidden Markov models (
HMM), and
neural networks. YAPP, an 2000s
eukaryotic core-promoter
prediction program, uses
HMM. A 2017
publication predicts...
