Prof. Dr. Cornelia Meckbach

Main Affiliation
 
Staff Status
external
 

1-9 of 9
 
The bibliographical data in your publication list are complete
You can correct existing data in the blue highlighted fields.To do this, please click on the coloured field. It is not possible to delete data here.
Fields that are not marked in colour (e. g. the authors) can be edited using the input form. To do so, click on the in front of the respective publication.
The bibliographic data in your publication list may be incomplete. You can
  • add any missing data in the fields marked in red or
  • correct existing data in the blue highlighted fields.
To do this, please click on the coloured field. It is not possible to delete data here.
Fields that are not marked in colour (e. g. the authors) can be edited using the input form. To do so, click on the in front of the respective publication.
Check/Uncheck all
  • 2021 Journal Article | Research Paper | 
    ​ ​Automatic Behavior and Posture Detection of Sows in Loose Farrowing Pens Based on 2D-Video Images​
    Küster, S.; Nolte, P.; Stock, B.; Meckbach, C.   & Traulsen, I. ​ (2021) 
    Frontiers in Animal Science2.​ DOI: https://doi.org/10.3389/fanim.2021.758165 
    Details  DOI 
  • 2021 Journal Article
    ​ ​A promising approach towards precise animal weight monitoring using convolutional neural networks​
    Meckbach, C. ; Tiesmeyer, V. & Traulsen, I. ​ (2021) 
    Computers and Electronics in Agriculture183 pp. 106056​.​ DOI: https://doi.org/10.1016/j.compag.2021.106056 
    Details  DOI 
  • 2021 Journal Article | Research Paper | 
    ​ ​An Information-Theoretic Approach to Detect the Associations of GPS-Tracked Heifers in Pasture​
    Meckbach, C. ; Elsholz, S.; Siede, C. & Traulsen, I.​ (2021) 
    Sensors21(22) pp. 7585​.​ DOI: https://doi.org/10.3390/s21227585 
    Details  DOI 
  • 2019 Journal Article | 
    ​ ​Computational identification of tissue-specific transcription factor cooperation in ten cattle tissues​
    Steuernagel, L.; Meckbach, C. ; Heinrich, F.; Zeidler, S. ; Schmitt, A. O.   & Gültas, M.​ (2019) 
    PLOS ONE14(5) art. e0216475​.​ DOI: https://doi.org/10.1371/journal.pone.0216475 
    Details  DOI  PMID  PMC 
  • 2018 Journal Article | 
    ​ ​Removing Background Co-occurrences of Transcription Factor Binding Sites Greatly Improves the Prediction of Specific Transcription Factor Cooperations.​
    Meckbach, C. ; Wingender, E. & Gültas, M.​ (2018) 
    Frontiers in genetics9 art. 189​.​ DOI: https://doi.org/10.3389/fgene.2018.00189 
    Details  DOI  PMID  PMC 
  • 2016 Journal Article | 
    ​ ​A Novel Sequence-Based Feature for the Identification of DNA-Binding Sites in Proteins Using Jensen-Shannon Divergence​
    Dang, T. K. L.; Meckbach, C. ; Tacke, R.; Waack, S. & Gueltas, M.​ (2016) 
    Entropy18(10) art. 379​.​ DOI: https://doi.org/10.3390/e18100379 
    Details  DOI  WoS 
  • 2016 Journal Article | 
    ​ ​Computational Detection of Stage-Specific Transcription Factor Clusters during Heart Development​
    Zeidler, S. ; Meckbach, C. ; Tacke, R.; Raad, F. S. ; Roa, A.; Uchida, S. & Zimmermann, W.-H.  et al.​ (2016) 
    Frontiers in Genetics7 art. 33​.​ DOI: https://doi.org/10.3389/fgene.2016.00033 
    Details  DOI 
  • 2015 Journal Article | 
    ​ ​PC-TraFF: identification of potentially collaborating transcription factors using pointwise mutual information​
    Meckbach, C. ; Tacke, R.; Hua, X. U.; Waack, S.; Wingender, E. & Gueltas, M.​ (2015) 
    BMC Bioinformatics16 art. 400​.​ DOI: https://doi.org/10.1186/s12859-015-0827-2 
    Details  DOI  PMID  PMC  WoS 
  • 2014 Journal Article | 
    ​ ​Quantum coupled mutation finder: predicting functionally or structurally important sites in proteins using quantum Jensen-Shannon divergence and CUDA programming​
    Gueltas, M.; Duezguen, G.; Herzog, S. K.; Jaeger, S. J.; Meckbach, C. ; Wingender, E. & Waack, S.​ (2014) 
    BMC Bioinformatics15 art. 96​.​ DOI: https://doi.org/10.1186/1471-2105-15-96 
    Details  DOI  PMID  PMC  WoS 

Publication List

Type

Subtype

Date issued

Author

Peer-Reviewed

Organization

Language

Fulltext

Options

Citation Style

https://publications.goettingen-research-online.de URI: /cris/rp/rp115010
ID: 0000000
PREF: default TOKEN:

0

Sort

Issue Date
Title

Embed

JavaScript
Link

Export

Activate Export Mode
Deactivate Export Mode

Select some or all items (max. 800 for CSV/Excel) from the publications list, then choose an export format below.