Edited in cooperation with Robert MercaşStrings (aka sequences or words) form the most basic and natural data structure. They occur whenever information is electronically transmitted (as bit streams), when natural language text is spoken or written down (as words over, for example, the Latin alphabet), in the process of heredity transmission in living cells (through DNA sequences) or the protein synthesis (as sequence of amino acids), and in many more different contexts. Given this universal form of representing information, the need to process strings is apparent and is actually a core purpose of computer use. Algorithms to efficiently search through, analyze, (de-)compress, match, encode and decode strings are therefore of chief interest....
DNA computing, an essential area of unconventional computing research, encodes problems using DNA mo...
A subsequence is obtained from a string by deleting any number of characters; thus in contrast to a ...
Graduation date: 1993As the volume of genetic sequence data increases due to improved sequencing\ud ...
Strings (aka sequences or words) form the most basic and natural data structure. They occur whenever...
Sequences form the most basic and natural data structure. They occur whenever information is electro...
Strings (aka sequences or words) form the most basic and natural data structure. They occur whenever...
A string is just a sequence of letters. But strings can be massive. Plant and animal genomes are str...
AbstractA subsequence is obtained from a string by deleting any number of characters; thus in contra...
In this thesis we are concerned with constructing algorithms that address problems of biological rel...
Since early stages of bioinformatics, substrings played a crucial role in the search and discovery o...
International audienceThe article is an overview of basic issues related to repetitions in strings, ...
The information that can be inferred or predicted from knowing the genomic sequence of an organism i...
Since early stages of bioinformatics, substrings played a crucial role in the search and discovery o...
Stringology - the study of strings - is a branch of algorithmics which been the sub-ject of mounting...
AbstractThe article is an overview of basic issues related to repetitions in strings, concentrating ...
DNA computing, an essential area of unconventional computing research, encodes problems using DNA mo...
A subsequence is obtained from a string by deleting any number of characters; thus in contrast to a ...
Graduation date: 1993As the volume of genetic sequence data increases due to improved sequencing\ud ...
Strings (aka sequences or words) form the most basic and natural data structure. They occur whenever...
Sequences form the most basic and natural data structure. They occur whenever information is electro...
Strings (aka sequences or words) form the most basic and natural data structure. They occur whenever...
A string is just a sequence of letters. But strings can be massive. Plant and animal genomes are str...
AbstractA subsequence is obtained from a string by deleting any number of characters; thus in contra...
In this thesis we are concerned with constructing algorithms that address problems of biological rel...
Since early stages of bioinformatics, substrings played a crucial role in the search and discovery o...
International audienceThe article is an overview of basic issues related to repetitions in strings, ...
The information that can be inferred or predicted from knowing the genomic sequence of an organism i...
Since early stages of bioinformatics, substrings played a crucial role in the search and discovery o...
Stringology - the study of strings - is a branch of algorithmics which been the sub-ject of mounting...
AbstractThe article is an overview of basic issues related to repetitions in strings, concentrating ...
DNA computing, an essential area of unconventional computing research, encodes problems using DNA mo...
A subsequence is obtained from a string by deleting any number of characters; thus in contrast to a ...
Graduation date: 1993As the volume of genetic sequence data increases due to improved sequencing\ud ...