Mosquito genomics. Highly evolvable malaria vectors: the genomes of 16 Anopheles mosquitoes

Autor: Neafsey, D. E., Waterhouse, R. M., Abai, M. R., Aganezov, S. S., Alekseyev, M. A., Allen, J. E., Amon, J., Arca, B., Arensburger, P., Artemov, G., Assour, L. A., Basseri, H., Berlin, A., Birren, B. W., Blandin, S. A., Brockman, A. I., Burkot, T. R., Burt, A., Chan, C. S., Chauve, C., Chiu, J. C., Christensen, M., Costantini, C., Davidson, V. L., Deligianni, E., Dottorini, T., Dritsou, V., Gabriel, S. B., Guelbeogo, W. M., Hall, A. B., Han, M. V., Hlaing, T., Hughes, D. S., Jenkins, A. M., Jiang, X., Jungreis, I., Kakani, E. G., Kamali, M., Kemppainen, P., Kennedy, R. C., Kirmitzoglou, I. K., Koekemoer, L. L., Laban, N., Langridge, N., Lawniczak, M. K., Lirakis, M., Lobo, N. F., Lowy, E., MacCallum, R. M., Mao, C., Maslen, G., Mbogo, C., McCarthy, J., Michel, K., Mitchell, S. N., Moore, W., Murphy, K. A., Naumenko, A. N., Nolan, T., Novoa, E. M., O'Loughlin, S., Oringanje, C., Oshaghi, M. A., Pakpour, N., Papathanos, P. A., Peery, A. N., Povelones, M., Prakash, A., Price, D. P., Rajaraman, A., Reimer, L. J., Rinker, D. C., Rokas, A., Russell, T. L., Sagnon, N., Sharakhova, M. V., Shea, T., Simao, F. A., Simard, F., Slotman, M. A., Somboon, P., Stegniy, V., Struchiner, C. J., Thomas, G. W., Tojo Castro, Marta, Topalis, P., Tubio, J. M., Unger, M. F., Vontas, J., Walton, C., Wilding, C. S., Willis, J. H., Wu, Y. C., Yan, G., Zdobnov, E. M., Zhou, X., Catteruccia, F., Christophides, G. K., Collins, F. H., Cornman, R. S., Crisanti, A., Donnelly, M. J., Emrich, S. J., Fontaine, M. C., Gelbart, W., Hahn, M. W., Hansen, I. A., Howell, P. I., Kafatos, F. C., Kellis, M., Lawson, D., Louis, C., Luckhart, S., Muskavitch, M. A., Ribeiro, J. M., Riehle, M. A., Sharakhov, I. V., Tu, Z., Zwiebel, L. J., Besansky, N. J.

Publikováno v: RUNA. Repositorio da Consellería de Sanidade e Sergas
Servizo Galego de Saúde (SERGAS)

Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vecto

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::135f8401d0848fd8318e199a1dcc8622
http://hdl.handle.net/11577/3315062

Reconfiguring the Bioinformatics Computational Spectrum: Challenges and Opportunities of FPGA-Based Bioinformatics Acceleration Platforms

Autor: Chrysos, G., Sotiriades, E., Rousopoulos, C., Pramataris, K., Papaefstathiou, I., Dollas, A., Papadopoulos, A., Kirmitzoglou, I., Promponas, V. J., Theocharides, Theocharis, Petihakis, G., Lagnel, J.

Publikováno v: IEEE Design & Test
IEEE Design & Test, IEEE, 2014, 31 (1), pp.62-73. ⟨10.1109/MDAT.2013.2284191⟩
IEEE Design and Test
IEEE Des.Test

International audience; This paper conducts a detailed survey on the use of FPGA-based reconfigurable computing platforms for a wide range of sequence and structural bioinformatics applications, with emphasis on performance and energy savings of the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2692861be2d1b7005fe62a39090a708
https://hal.inrae.fr/hal-02637115

FPGA-based hardware acceleration for local complexity analysis of massive genomic data

Autor: Papadopoulos, A., Kirmitzoglou, I., Promponas, V. J., Theocharides, Theocharis

Publikováno v: Integration, the VLSI Journal
Integr VLSI J

While genomics have significantly advanced modern biological achievements, it requires extensive computational power, traditionally employed on large-scale cluster machines as well as multi-core systems. However, emerging research results show that F

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e5c1c16ac324b7714d89ff9325fa9ad

Opportunities from the use of FPGAs as platforms for bioinformatics algorithms

Autor: Chrysos, G., Sotiriades, E., Rousopoulos, C., Dollas, A., Papadopoulos, A., Kirmitzoglou, I., Promponas, V., Theocharides, Theocharis, Petihakis, G., Lagnel, J., Vavylis, P., Kotoulas, G.

Publikováno v: IEEE 12th International Conference on BioInformatics and BioEngineering, BIBE 2012
BIBE

This paper presents an in-depth look of how FPGA computing can offer substantial speedups in the execution of bioinformatics algorithms, with specific results achieved to date for a broad range of algorithms. Examples and case studies are presented f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37fd6da37b9c3889ae0b7c7153d90a8e
http://gnosis.library.ucy.ac.cy/handle/7/43192

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