Gene-Centric Knowledgebase

Last update 11.06.2016

Gene-centric Content Management System

GenoCMS is developed for integration of postgenomic data using Web-based heat map or traffic-light matrix data representation. The system is destined to foster the collaborative filtration of the underlying data scope, by creating, annotating and sharing the sets of protein-coding genes.

GenoCMS provides the following features

For the Guest User:

  • - browsing of the annotated current set of protein-coding genes;
  • - switching between published sets;
  • - selecting the tracks (features) for annotating the protein-coding genes of the current set;
  • - selecting genes into a separate set;.

For registered GenoCMS user provides an option to save the created sets with assigned tracks and color-schemes and to publish these sets on Web. As a registered user, you able to request privilege of Curator. You will be established track(s) and you will get the following features:

  • - managing track settings;
  • - update the values of the track;
  • - adjusting the color-coding of the track.

Typical workflow

Typical workflow consist of seven steps.

  1. Select a set
  2. View of a set
  3. Change Display settings
  4. Sort
  5. Select protein(s) to subset
  6. Share a set
  7. Export data

Download links

Publications

  1. Object-oriented information system for visualization, storage and processing of molecular biological data (Ob"yektno-oriyentirovannaya informatsionnaya sistema dlya vizualizatsii, khraneniya i obrabotki molekulyarno-biologicheskikh dannykh).
    Ekaterina V Poverennaya; Nadezhda A Bogolubova; Nikolay N Bylko; Alexey D Filimonov; Yulia A Romashova.
    Integral, 2012, 3(65), 18-19 Abstract (in Russian)
  2. Gene-Centric Content Management System
    Ekaterina V Poverennaya; Nadezhda A Bogolubova; Nikolay N Bylko; Elena A Ponomarenko; Andrey Lisitsa; Alexander I Archakov.
    Biochim Biophys Acta, 2013 Aug 27. doi: 10.1016/j.bbapap.2013.08.006. Abstract
  3. GenoCMS - The Content Management System for Genes and Proteins
    Ekaterina V Poverennaya; Nadezhda A Bogolubova; Elena A Ponomarenko; Andrey Lisitsa; Alexander I Archakov.
    Journal of Proteomics & Bioinformatics, 2013 6(8), 176–182. doi:10.4172/jpb.1000278 Abstract