Collection and storage of previous research work is very important for any field of life. It not only helps in making life and work easy but also fast. Repetition of already done homework only leads to wastage of human resource and time. Therefore, it becomes imperative to properly collect and store the already done work in a central database which can be accessed globally without any hindrances. Especially in scientific world, such databases assume high importance. Even negative results or failed experiments need to be recorded so that science advances globally in a positive direction.
The collection of biological text corpus is called bibliome. This program was launched by European Bioinformatics group (EBI) in year 2000. The main purpose behind its establishment was to highlight the importance of biological information. Scientists particularly bioinformatists use bibliome very often to discover new genes or to share valuable wet lab information. It has also been used to discover new gene targets and accurately perform molecular modeling of new drugs.
Bibliome group designs new methods for easy retrieval and annotation/modification of already known literature expressed in a common language (English) in specific domains like biology. These methods are basically related to artificial intelligence i.e. electronical/ machine based retrieval, extraction, processing of biological scientific and technical information.
Two basic parts of bibliome are:
These parts are based upon 3 criteria:
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