The Needleman-Wunsch process is a classic tool in bioinformatics, being a dynamic programming algorithm that performs a pairwise alignment of two input biological sequences, either protein or nucleic acid. A distance matrix between the tokens used in the sequences is also required as input. The distance matrix is used to generate a positional pairwise similarity matrix between the input sequences, which is in turn used to generate a dynamic programming matrix. The best path through the dynamic programming matrix is navigated using a traceback procedure that maximises similarity, inserting gaps as necessary. Needleman-Wunsch can align both nucleic acids or proteins, which use alphabets of size 4 and 20 tokens respectively. It can also be app...
Music notation is probably one of the earliest forms of sequential programming. Each note on a stave...
Inspired by the traceable analogies between protein sequences and music notes, protein music has bee...
One of the greatest challenges in theoretical biophysics and bioinformatics is the identification of...
The Needleman-Wunsch process is a classic tool in bioinformatics, being a dynamic programming algori...
Computer-generated score for 2 pianos. The eight movements are generated automatically using a power...
This paper presents an algorithmic composition technique derived from Markov chain modeling, which ...
BACKGROUND: Third generation sequencing technologies generate long reads that exhibit high error rat...
International audienceConcepts from the theory of sequence comparison are adapted to measure the ove...
Using a created a program in MatLab, several amino acid sequences can be aligned with one another so...
This dissertation traces the history and development of algorithms in musical composition from ca. 1...
My honors thesis aims to develop a program that could assist with music composition, or even write i...
Summary: Dynamic programming (DP) is a general optimization strategy that is successfully used acros...
1 We have developed a code generating language, called Dynamite, specialised for the production and...
Algorithmic composition is the usage of mathematical processes to produce music. In this study an ex...
https://aimc2023.pubpub.org/pub/7zvfxnal “Organic Algorithmic Composition” is not just a musical co...
Music notation is probably one of the earliest forms of sequential programming. Each note on a stave...
Inspired by the traceable analogies between protein sequences and music notes, protein music has bee...
One of the greatest challenges in theoretical biophysics and bioinformatics is the identification of...
The Needleman-Wunsch process is a classic tool in bioinformatics, being a dynamic programming algori...
Computer-generated score for 2 pianos. The eight movements are generated automatically using a power...
This paper presents an algorithmic composition technique derived from Markov chain modeling, which ...
BACKGROUND: Third generation sequencing technologies generate long reads that exhibit high error rat...
International audienceConcepts from the theory of sequence comparison are adapted to measure the ove...
Using a created a program in MatLab, several amino acid sequences can be aligned with one another so...
This dissertation traces the history and development of algorithms in musical composition from ca. 1...
My honors thesis aims to develop a program that could assist with music composition, or even write i...
Summary: Dynamic programming (DP) is a general optimization strategy that is successfully used acros...
1 We have developed a code generating language, called Dynamite, specialised for the production and...
Algorithmic composition is the usage of mathematical processes to produce music. In this study an ex...
https://aimc2023.pubpub.org/pub/7zvfxnal “Organic Algorithmic Composition” is not just a musical co...
Music notation is probably one of the earliest forms of sequential programming. Each note on a stave...
Inspired by the traceable analogies between protein sequences and music notes, protein music has bee...
One of the greatest challenges in theoretical biophysics and bioinformatics is the identification of...