We present a resource of high quality lists of functionally related Drosophila genes, e.g. based on protein domains (kinases, transcription factors, etc.) or cellular function (e.g. autophagy, signal transduction). To establish these lists, we relied on different inputs, including curation from databases or the literature and mapping from other species. Moreover, as an added curation and quality control step, we asked experts in relevant fields to review many of the lists. The resource is available online for scientists to search and view, and is editable based on community input. Annotation of gene groups is an ongoing effort and scientific need will typically drive decisions regarding which gene lists to pursue. We anticipate that the num...
Background: Next-generation sequencing technologies have greatly increased our ability to identify g...
The Genomics Education Partnership is a nationwide crowdsourced research effort in which undergradua...
Genetic screens are powerful methods for the discovery of gene-phenotype associations. However, a sy...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
Many publications describe sets of genes or gene products that share a common biology. For exam-ple,...
In collaboration with scientists and undergraduate members of the Genomics Education Partnership, we...
As part of the Genomics Education Partnership, The Pathways Project aims to annotate genes involved ...
With arguably the best finished and expertly annotated genome assembly, Drosophila melanogaster is a...
The evolution of biological pathways can be studied through the analysis of gene transcription. To u...
Motivation: Understanding the regulatory mechanisms governing eye development of the model organism ...
Motivation: The highly coordinated expression of thousands of genes in an organism is regulated by t...
Computational methods for automated genome annotation are critical to our community's ability to mak...
Transcription factors (TFs) play a key role in development and in cellular responses to the environm...
The Drosophila genome contains approximately 14,000 protein-coding genes encoding all the necessary ...
Computational methods for automated genome annotation are critical to our community’s ability to mak...
Background: Next-generation sequencing technologies have greatly increased our ability to identify g...
The Genomics Education Partnership is a nationwide crowdsourced research effort in which undergradua...
Genetic screens are powerful methods for the discovery of gene-phenotype associations. However, a sy...
(Article begins on next page) The Harvard community has made this article openly available. Please s...
Many publications describe sets of genes or gene products that share a common biology. For exam-ple,...
In collaboration with scientists and undergraduate members of the Genomics Education Partnership, we...
As part of the Genomics Education Partnership, The Pathways Project aims to annotate genes involved ...
With arguably the best finished and expertly annotated genome assembly, Drosophila melanogaster is a...
The evolution of biological pathways can be studied through the analysis of gene transcription. To u...
Motivation: Understanding the regulatory mechanisms governing eye development of the model organism ...
Motivation: The highly coordinated expression of thousands of genes in an organism is regulated by t...
Computational methods for automated genome annotation are critical to our community's ability to mak...
Transcription factors (TFs) play a key role in development and in cellular responses to the environm...
The Drosophila genome contains approximately 14,000 protein-coding genes encoding all the necessary ...
Computational methods for automated genome annotation are critical to our community’s ability to mak...
Background: Next-generation sequencing technologies have greatly increased our ability to identify g...
The Genomics Education Partnership is a nationwide crowdsourced research effort in which undergradua...
Genetic screens are powerful methods for the discovery of gene-phenotype associations. However, a sy...