Availability: ACT is available at http://act.gersteinlab.org Contact: [email protected] There is now an abundance of genome-sized data from high-throughput genomic experiments.
Additionally, GeneWeaver [ 14] is a curated repository of genomic experiments which allows the user to perform integrative functional genomics in combination with the incorporated data.
For behavioral and genomic experiments, the report recommended that the research should be done on chimps only if the animals are cooperative, and in a way that minimizes pain and distress.
The ability to modify or subclone large fragments of genomic DNA with precision should facilitate many kinds of genomic experiments that were difficult or impossible to perform previously and aid in studies of gene function in the postgenomic era.
High-throughput genomic experiments often lead to the identification of large gene lists [1], [2], [3].
Understanding the functional implications of changes in gene expression, mutations, etc., is the aim of most genomic experiments.
The approach we are presenting here constitutes a novel and conceptually different proposal for the functional analysis of genomic experiments.
An important aspect in the interpretation of results from high-throughput genomic experiments is the integration of these data with previous biological knowledge.
To reduce false positives, PMIDs referring to more than 10 genes were removed as these citations usually described genomic experiments and contained no functional information.
To fully exploit the large volumes of genomic data typically produced in modern-day genomic experiments, automated computational methods for protein function prediction are urgently needed.
High-throughput genomic experiments, which involve the usage of micro-arrays or next generation sequencing technologies, are used in many fields of molecular biology to discover genes implicated in particular processes.
