The Structural Role of Feed-Forward Loop Motif in Transcriptional Regulatory Networks

Autor: Bhanu K. Kamapantula, Preetam Ghosh, Edward J. Perkins, Michael L. Mayo

Publikováno v: Mobile Networks and Applications. 21:191-205

We present multiple approaches to identify the significance of topological metrics that contribute to biological network robustness. We examine and compare the communication efficiency of transcriptional networks extracted from the bacterium Escheric

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0683b2b4ef7e0bf2e097d40337a19c7f
https://doi.org/10.1007/s11036-016-0708-6

Leveraging the robustness of genetic networks: a case study on bio-inspired wireless sensor network topologies

Autor: Edward J. Perkins, Bhanu K. Kamapantula, Sajal K. Das, Michael L. Mayo, Preetam Ghosh, Ahmed F. Abdelzaher

Publikováno v: Journal of Ambient Intelligence and Humanized Computing. 5:323-339

Wireless sensor networks (WSNs) form a critical component in modern computing applications; given their size, ability to process and communicate information, and to sense stimuli, they are a promising part of the Internet of Things. However, they are

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ee742c4af3109a6c42882f89c18b1ec7
https://doi.org/10.1007/s12652-013-0180-0

DISMIRA: Prioritization of disease candidates in miRNA-disease associations based on maximum weighted matching inference model and motif-based analysis

Autor: Antaripa Bhattacharya, Rommel Thiago Jucá Ramos, Preetam Ghosh, Artur Silva, Sintia Almeida, Neha Jain, Debmalya Barh, Bhanu K. Kamapantula, Vasco Azevedo, Joseph J. Nalluri

Publikováno v: BMC Genomics

MicroRNAs (miRNAs) have increasingly been found to regulate diseases at a significant level. The interaction of miRNA and diseases is a complex web of multilevel interactions, given the fact that a miRNA regulates upto 50 or more diseases and miRNAs/

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ccc29d4949fd946fb0a8308ae857c090
https://doi.org/10.1186/1471-2164-16-s5-s12

Feature ranking in transcriptional networks: Packet receipt as a dynamical metric

Autor: Michael L. Mayo, Edward J. Perkins, Preetam Ghosh, Bhanu K. Kamapantula, Ahmed F. Abdelzaher

Publikováno v: BICT

Machine learning techniques may be useful in determining the features contributing to some biological properties, such as robustness, which is the tendency for biological systems to resist a change of state. In this work, we compare transcriptional s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::74d341d0dc712bad3f4b0676eed7c053
https://doi.org/10.4108/icst.bict.2014.257930

PANNOTATOR: an automated tool for annotation of pan-genomes

Autor: Ahmed F. Abdelzaher, Neha Jain, Vijender Chaitankar, Eudes Barbosa, Preetam Ghosh, Debmalya Barh, Meritxell Zurita-Turk, Karina K Fiaux, Artur Silva, Bhanu K. Kamapantula, Neha Barve, Anderson Rodrigues dos Santos, Anderson Miyoshi, Vasco Azevedo, Sandeep Tiwari

Publikováno v: Santos, A R, Barbosa, E G V, Fiaux, K, Zurita-Turk, M, Chaitankar, V, Kamapantula, B, Abdelzaher, A, Ghosh, P, Tiwari, S, Barve, N, Jain, N, Barh, D, Silva, A, Miyoshi, A & Azevedo, V 2013, ' PANNOTATOR : an automated tool for annotation of pan-genomes ', Genetics and Molecular Research, vol. 12, no. 3, pp. 2982-9 . https://doi.org/10.4238/2013.August.16.2

Due to next-generation sequence technologies, sequencing of bacterial genomes is no longer one of the main bottlenecks in bacterial research and the number of new genomes deposited in public databases continues to increase at an accelerating rate. Am

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8eac4414b4ce73b2578d20f151f6b59
https://pubmed.ncbi.nlm.nih.gov/24065654