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Query Language for Biological Databases
Bahurek, Tomáš ; Vogel, Ivan (referee) ; Martínek, Tomáš (advisor)
With rising amount of biological data, biological databases are becoming more important each day. Knowledge discovery (identification of connections that were unknown at the time of data entry) is an essential aspect of these databases. To gain knowledge from these databases one has to construct complicated SQL queries, which requires advanced knowledge of SQL language and used database schema. Biologists usually don't have this knowledge, which creates need for tool, that would offer more intuitive interface for querying biological databases. This work proposes ChQL, an intuitive query language for biological database Chado. ChQL allows biologists to assemble query using terms they are familiar without knowledge of SQL language or Chado database schema. This work implements application for querying Chado database using ChQL. Web interface guides user through process of assembling sentence in ChQL. Application translates this sentence to SQL query, sends it to Chado database and displays returned data in table. Results are evaluated by testing queries on real data.
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Gene Detection in DNA Sequences
Bahurek, Tomáš ; Burgetová, Ivana (referee) ; Martínek, Tomáš (advisor)
This work is about gene detection in DNA sequencies. It explains how the information in DNA is stored, shows preview of various gene prediction methods, describes picked methods and results of testing those methods on real data (genome of bacteria E. Coli K12), compares efficiency of methods with various paramaters and efficiency between methods.
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Gene Detection in DNA Sequences
Bahurek, Tomáš ; Burgetová, Ivana (referee) ; Martínek, Tomáš (advisor)
This work is about gene detection in DNA sequencies. It explains how the information in DNA is stored, shows preview of various gene prediction methods, describes picked methods and results of testing those methods on real data (genome of bacteria E. Coli K12), compares efficiency of methods with various paramaters and efficiency between methods.
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Query Language for Biological Databases
Bahurek, Tomáš ; Vogel, Ivan (referee) ; Martínek, Tomáš (advisor)
With rising amount of biological data, biological databases are becoming more important each day. Knowledge discovery (identification of connections that were unknown at the time of data entry) is an essential aspect of these databases. To gain knowledge from these databases one has to construct complicated SQL queries, which requires advanced knowledge of SQL language and used database schema. Biologists usually don't have this knowledge, which creates need for tool, that would offer more intuitive interface for querying biological databases. This work proposes ChQL, an intuitive query language for biological database Chado. ChQL allows biologists to assemble query using terms they are familiar without knowledge of SQL language or Chado database schema. This work implements application for querying Chado database using ChQL. Web interface guides user through process of assembling sentence in ChQL. Application translates this sentence to SQL query, sends it to Chado database and displays returned data in table. Results are evaluated by testing queries on real data.
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