{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T01:01:51Z","timestamp":1726189311211},"publisher-location":"Cham","reference-count":60,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031280726"},{"type":"electronic","value":"9783031280733"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-28073-3_4","type":"book-chapter","created":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T01:04:09Z","timestamp":1677632649000},"page":"39-58","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["DNA Genome Classification with\u00a0Machine Learning and\u00a0Image Descriptors"],"prefix":"10.1007","author":[{"given":"Daniel Prado","family":"Cussi","sequence":"first","affiliation":[]},{"given":"V. E.","family":"Machaca Arceda","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,3,2]]},"reference":[{"issue":"1","key":"4_CR1","doi-asserted-by":"publisher","first-page":"41","DOI":"10.21608\/mjeer.2021.146090","volume":"30","author":"SM Abd-Alhalem","year":"2021","unstructured":"Abd-Alhalem, S.M., et al.: DNA sequences classification with deep learning: a survey. Menoufia J. Electron. Eng. Res. 30(1), 41\u201351 (2021)","journal-title":"Menoufia J. Electron. Eng. Res."},{"issue":"5","key":"4_CR2","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1093\/bioinformatics\/17.5.429","volume":"17","author":"JS Almeida","year":"2001","unstructured":"Almeida, J.S., Carrico, J.A., Maretzek, A., Noble, P.A., Fletcher, M.: Analysis of genomic sequences by chaos game representation. Bioinformatics 17(5), 429\u2013437 (2001)","journal-title":"Bioinformatics"},{"key":"4_CR3","doi-asserted-by":"publisher","first-page":"104781","DOI":"10.1016\/j.compbiomed.2021.104781","volume":"137","author":"S Bakheet","year":"2021","unstructured":"Bakheet, S., Al-Hamadi, A.: Automatic detection of Covid-19 using pruned GLCM-based texture features and LDCRF classification. Comput. Biol. Med. 137, 104781 (2021)","journal-title":"Comput. Biol. Med."},{"issue":"5","key":"4_CR4","doi-asserted-by":"publisher","first-page":"2332","DOI":"10.3390\/app11052332","volume":"11","author":"S Barburiceanu","year":"2021","unstructured":"Barburiceanu, S., Terebes, R., Meza, S.: 3D texture feature extraction and classification using GLCM and LBP-based descriptors. Appl. Sci. 11(5), 2332 (2021)","journal-title":"Appl. Sci."},{"issue":"5","key":"4_CR5","doi-asserted-by":"publisher","first-page":"582","DOI":"10.1093\/bioinformatics\/bti039","volume":"21","author":"D Campagna","year":"2005","unstructured":"Campagna, D., et al.: Rap: a new computer program for de novo identification of repeated sequences in whole genomes. Bioinformatics 21(5), 582\u2013588 (2005)","journal-title":"Bioinformatics"},{"key":"4_CR6","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jtbi.2018.07.001","volume":"455","author":"W Chen","year":"2018","unstructured":"Chen, W., Liao, B., Li, W.: Use of image texture analysis to find DNA sequence similarities. J. Theor. Biol. 455, 1\u20136 (2018)","journal-title":"J. Theor. Biol."},{"key":"4_CR7","doi-asserted-by":"crossref","unstructured":"Choi, J.Y., Kim, D.H., Choi, S.H., Ro, Y.M.: Multiresolution local binary pattern texture analysis for false positive reduction in computerized detection of breast masses on mammograms. In: Medical Imaging 2012: Computer-Aided Diagnosis, vol. 8315, pp. 676\u2013682. SPIE (2012)","DOI":"10.1117\/12.911137"},{"issue":"21","key":"4_CR8","doi-asserted-by":"publisher","first-page":"5389","DOI":"10.3390\/ijms20215389","volume":"20","author":"Riccardo Concu and MNDS Cordeiro","year":"2019","unstructured":"Riccardo Concu and MNDS Cordeiro: Alignment-free method to predict enzyme classes and subclasses. Int. J. Molec. Sci. 20(21), 5389 (2019)","journal-title":"Int. J. Molec. Sci."},{"key":"4_CR9","doi-asserted-by":"publisher","first-page":"1879","DOI":"10.1007\/s11227-020-03338-3","volume":"77","author":"F Cores","year":"2021","unstructured":"Cores, F., Guirado, F., Lerida, J.L.: High throughput blast algorithm using spark and cassandra. J. Supercomput. 77, 1879\u20131896 (2021)","journal-title":"J. Supercomput."},{"key":"4_CR10","doi-asserted-by":"publisher","first-page":"107603","DOI":"10.1016\/j.jmgm.2020.107603","volume":"99","author":"E Deliba\u015f","year":"2020","unstructured":"Deliba\u015f, E., Arslan, A.: DNA sequence similarity analysis using image texture analysis based on first-order statistics. J. Molec. Graph. Model. 99, 107603 (2020)","journal-title":"J. Molec. Graph. Model."},{"issue":"10","key":"4_CR11","doi-asserted-by":"publisher","first-page":"1391","DOI":"10.1093\/oxfordjournals.molbev.a026048","volume":"16","author":"PJ Deschavanne","year":"1999","unstructured":"Deschavanne, P.J., Giron, A., Vilain, J., Fagot, G., Fertil, B.: Genomic signature: characterization and classification of species assessed by chaos game representation of sequences. Molec. Biol. Evol. 16(10), 1391\u20131399 (1999)","journal-title":"Molec. Biol. Evol."},{"issue":"4","key":"4_CR12","doi-asserted-by":"publisher","first-page":"405","DOI":"10.17694\/bajece.540873","volume":"7","author":"B Dogan","year":"2019","unstructured":"Dogan, B.: An alignment-free method for bulk comparison of protein sequences from different species. Balkan J. Electr. Comput. Eng. 7(4), 405\u2013416 (2019)","journal-title":"Balkan J. Electr. Comput. Eng."},{"key":"4_CR13","doi-asserted-by":"publisher","first-page":"81297","DOI":"10.1109\/ACCESS.2019.2923687","volume":"7","author":"A Fabija\u0144ska","year":"2019","unstructured":"Fabija\u0144ska, A., Grabowski, S.: Viral genome deep classifier. IEEE Access 7, 81297\u201381307 (2019)","journal-title":"IEEE Access"},{"key":"4_CR14","unstructured":"Gao, Y., Li, T., Luo, L.: Phylogenetic study of 2019-ncov by using alignment-free method. arXiv preprint arXiv:2003.01324 (2020)"},{"issue":"11","key":"4_CR15","doi-asserted-by":"publisher","first-page":"2219","DOI":"10.1373\/clinchem.2005.053850","volume":"51","author":"M Gollery","year":"2005","unstructured":"Gollery, M.: Bioinformatics: sequence and genome analysis. Clin. Chem. 51(11), 2219\u20132220 (2005)","journal-title":"Clin. Chem."},{"key":"4_CR16","doi-asserted-by":"crossref","unstructured":"Gunasekaran, H., Ramalakshmi, K., Arokiaraj, A.R.M., Kanmani, S.D., Venkatesan, C., Dhas, C.S.G.: Analysis of DNA sequence classification using CNN and hybrid models. Comput. Math. Methods Med. 2021 (2021)","DOI":"10.1155\/2021\/1835056"},{"key":"4_CR17","doi-asserted-by":"crossref","unstructured":"Hammad, M.S., Ghoneim, V.F., Mabrouk, M.S.: Detection of Covid-19 using genomic image processing techniques. In: 2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES), pp. 83\u201386. IEEE (2021)","DOI":"10.1109\/NILES53778.2021.9600525"},{"key":"4_CR18","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"4_CR19","doi-asserted-by":"publisher","first-page":"104080","DOI":"10.1016\/j.meegid.2019.104080","volume":"77","author":"L He","year":"2020","unstructured":"He, L., Dong, R., He, R.L., Yau, S.S.-T.: A novel alignment-free method for hiv-1 subtype classification. Infect. Genet. Evol. 77, 104080 (2020)","journal-title":"Infect. Genet. Evol."},{"key":"4_CR20","doi-asserted-by":"crossref","unstructured":"Kaur, N., Nazir, N., et al.: A review of local binary pattern based texture feature extraction. In: 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions)(ICRITO), pp. 1\u20134. IEEE (2021)","DOI":"10.1109\/ICRITO51393.2021.9596485"},{"key":"4_CR21","doi-asserted-by":"crossref","unstructured":"Keogh, E., Wei, L., Xi, X., Lonardi, S., Shieh, J., Sirowy, S. Intelligent icons: integrating lite-weight data mining and visualization into gui operating systems. In: Sixth International Conference on Data Mining (ICDM 2006), pp. 912\u2013916. IEEE (2006)","DOI":"10.1109\/ICDM.2006.90"},{"issue":"2","key":"4_CR22","doi-asserted-by":"publisher","first-page":"2243","DOI":"10.1007\/s11042-020-09663-2","volume":"80","author":"DGR Kola","year":"2021","unstructured":"Kola, D.G.R., Samayamantula, S.K.: A novel approach for facial expression recognition using local binary pattern with adaptive window. Multimedia Tools Appl. 80(2), 2243\u20132262 (2021)","journal-title":"Multimedia Tools Appl."},{"issue":"1","key":"4_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-018-38197-9","volume":"9","author":"S Kouchaki","year":"2019","unstructured":"Kouchaki, S., Tapinos, A., Robertson, D.L.: A signal processing method for alignment-free metagenomic binning: multi-resolution genomic binary patterns. Sci. Rep. 9(1), 1\u201310 (2019)","journal-title":"Sci. Rep."},{"key":"4_CR24","doi-asserted-by":"crossref","unstructured":"Kumar, N., Lolla, V.N., Keogh, E., Lonardi, S., Ratanamahatana, C.A., Wei, L.: Time-series bitmaps: a practical visualization tool for working with large time series databases. In: Proceedings of the 2005 SIAM International Conference on Data Mining, pp. 531\u2013535. SIAM (2005)","DOI":"10.1137\/1.9781611972757.55"},{"issue":"6","key":"4_CR25","doi-asserted-by":"publisher","first-page":"519","DOI":"10.1089\/cmb.2018.0239","volume":"26","author":"D Lebatteux","year":"2019","unstructured":"Lebatteux, D., Remita, A.M., Diallo, A.B.: Toward an alignment-free method for feature extraction and accurate classification of viral sequences. J. Comput. Biol. 26(6), 519\u2013535 (2019)","journal-title":"J. Comput. Biol."},{"key":"4_CR26","doi-asserted-by":"publisher","first-page":"3337","DOI":"10.1093\/bioinformatics\/btab338","volume":"37","author":"B Lee","year":"2021","unstructured":"Lee, B., Smith, D.K., Guan, Y.: Alignment free sequence comparison methods and reservoir host prediction. Bioinformatics 37, 3337\u20133342 (2021)","journal-title":"Bioinformatics"},{"key":"4_CR27","doi-asserted-by":"crossref","unstructured":"Leinonen, M., Salmela, L.: Extraction of long k-mers using spaced seeds. arXiv preprint arXiv:2010.11592 (2020)","DOI":"10.1109\/TCBB.2021.3113131"},{"issue":"14","key":"4_CR28","doi-asserted-by":"publisher","first-page":"3511","DOI":"10.3390\/ijms20143511","volume":"20","author":"Y Li","year":"2019","unstructured":"Li, Y., Li, L.-P., Wang, L., Chang-Qing, Yu., Wang, Z., You, Z.-H.: An ensemble classifier to predict protein-protein interactions by combining pssm-based evolutionary information with local binary pattern model. Int. J. Molec. Sci. 20(14), 3511 (2019)","journal-title":"Int. J. Molec. Sci."},{"issue":"1","key":"4_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12859-019-3330-3","volume":"20","author":"D Lichtblau","year":"2019","unstructured":"Lichtblau, D.: Alignment-free genomic sequence comparison using fcgr and signal processing. BMC Bioinf. 20(1), 1\u201317 (2019)","journal-title":"BMC Bioinf."},{"key":"4_CR30","doi-asserted-by":"crossref","unstructured":"Liu, Z., Gao, J., Shen, Z., Zhao, F.: Design and implementation of parallelization of blast algorithm based on spark. DEStech Trans. Comput. Sci. Eng. (IECE) (2018)","DOI":"10.12783\/dtcse\/iece2018\/26643"},{"key":"4_CR31","doi-asserted-by":"crossref","unstructured":"Arceda, V.E.M.: An analysis of k-mer frequency features with svm and cnn for viral subtyping classification. J. Comput. Sci. Technol. 20 (2020)","DOI":"10.24215\/16666038.20.e11"},{"issue":"5","key":"4_CR32","doi-asserted-by":"publisher","first-page":"4003","DOI":"10.1007\/s00500-020-05429-y","volume":"25","author":"MAB Mahmoud","year":"2021","unstructured":"Mahmoud, M.A.B., Guo, P.: DNA sequence classification based on mlp with pilae algorithm. Soft Comput. 25(5), 4003\u20134014 (2021)","journal-title":"Soft Comput."},{"key":"4_CR33","series-title":"Advances in Intelligent Systems and Computing","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/978-981-15-5345-5_28","volume-title":"Smart Innovations in Communication and Computational Sciences","author":"N Mohan","year":"2021","unstructured":"Mohan, N., Varshney, N.: Facial expression recognition using improved local binary pattern and min-max similarity with nearest neighbor algorithm. In: Tiwari, S., Trivedi, M.C., Mishra, K.K., Misra, A.K., Kumar, K.K., Suryani, E. (eds.) Smart Innovations in Communication and Computational Sciences. AISC, vol. 1168, pp. 309\u2013319. Springer, Singapore (2021). https:\/\/doi.org\/10.1007\/978-981-15-5345-5_28"},{"key":"4_CR34","doi-asserted-by":"publisher","first-page":"40","DOI":"10.1016\/j.procs.2018.05.057","volume":"132","author":"\u015e \u00d6zt\u00fcrk","year":"2018","unstructured":"\u00d6zt\u00fcrk, \u015e, Akdemir, B.: Application of feature extraction and classification methods for histopathological image using glcm, lbp, lbglcm, glrlm and sfta. Procedia Comput. Sci. 132, 40\u201346 (2018)","journal-title":"Procedia Comput. Sci."},{"key":"4_CR35","doi-asserted-by":"crossref","unstructured":"Panthakkan, A., Anzar, S.M., Al\u00a0Mansoori, S., Al\u00a0Ahmad, H.: Accurate prediction of covid-19 (+) using ai deep vgg16 model. In: 2020 3rd International Conference on Signal Processing and Information Security (ICSPIS), pp. 1\u20134. IEEE (2020)","DOI":"10.1109\/ICSPIS51252.2020.9340145"},{"issue":"2","key":"4_CR36","doi-asserted-by":"publisher","first-page":"45","DOI":"10.14203\/j.inkom.420","volume":"9","author":"E Prakasa","year":"2016","unstructured":"Prakasa, E.: Texture feature extraction by using local binary pattern. INKOM J. 9(2), 45\u201348 (2016)","journal-title":"INKOM J."},{"issue":"1","key":"4_CR37","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep10203","volume":"5","author":"D Pratas","year":"2015","unstructured":"Pratas, D., Silva, R.M., Pinho, A.J., Ferreira, P.J.S.C.: An alignment-free method to find and visualise rearrangements between pairs of dna sequences. Sci. Rep. 5(1), 1\u20139 (2015)","journal-title":"Sci. Rep."},{"key":"4_CR38","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/j.procs.2015.07.340","volume":"59","author":"M Pratiwi","year":"2015","unstructured":"Pratiwi, M., Harefa, J., Nanda, S., et al.: Mammograms classification using gray-level co-occurrence matrix and radial basis function neural network. Procedia Comput. Sci. 59, 83\u201391 (2015)","journal-title":"Procedia Comput. Sci."},{"issue":"1","key":"4_CR39","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12864-019-5571-y","volume":"20","author":"GS Randhawa","year":"2019","unstructured":"Randhawa, G.S., Hill, K.A., Kari, L.: Ml-dsp: machine learning with digital signal processing for ultrafast, accurate, and scalable genome classification at all taxonomic levels. BMC Genom. 20(1), 1\u201321 (2019)","journal-title":"BMC Genom."},{"key":"4_CR40","unstructured":"Ranganathan, S., Nakai, K., Schonbach, C.: Encyclopedia of Bioinformatics and Computational Biology. ABC of Bioinformatics. Elsevier (2018)"},{"key":"4_CR41","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40484-019-0187-4","volume":"8","author":"J Ren","year":"2020","unstructured":"Ren, J., et al.: Identifying viruses from metagenomic data using deep learning. Quant. Biol. 8, 1\u201314 (2020)","journal-title":"Quant. Biol."},{"key":"4_CR42","doi-asserted-by":"crossref","unstructured":"Rosenberg, M.S.: Sequence Alignment: Methods, Models, Concepts, and Strategies. University of California Press (2009)","DOI":"10.1525\/9780520943742"},{"key":"4_CR43","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1016\/j.engappai.2018.11.011","volume":"78","author":"Y Ruichek","year":"2019","unstructured":"Ruichek, Y., et al.: Attractive-and-repulsive center-symmetric local binary patterns for texture classification. Eng. Appl. Artif. Intell. 78, 158\u2013172 (2019)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"4_CR44","doi-asserted-by":"publisher","first-page":"717","DOI":"10.14419\/ijet.v7i2.7.10930","volume":"7","author":"SV Bhavya","year":"2018","unstructured":"Bhavya, S.V., Narasimha, G.R., Ramya, M., Sujana, Y.S., Anuradha, T.: Classification of skin cancer images using tensorflow and inception v3. Int. J. Eng. Technol. 7, 717\u2013721 (2018)","journal-title":"Int. J. Eng. Technol."},{"key":"4_CR45","doi-asserted-by":"crossref","unstructured":"Santamar\u00eda, L.A., Zu\u00f1iga, S., Pineda, I.H., Somodevilla, M.J., Rossainz, M.: Reconocimiento de genes en secuencias de adn por medio de im\u00e1genes. DNA sequence recognition using image representation. Res. Comput. Sci. 148, 105\u2013114 (2019)","DOI":"10.13053\/rcs-148-3-9"},{"issue":"2","key":"4_CR46","first-page":"1531","volume":"12","author":"NAA Shanan","year":"2021","unstructured":"Shanan, N.A.A., Lafta, H.A., Alrashid, S.Z.: Using alignment-free methods as preprocessing stage to classification whole genomes. Int. J. Nonlinear Anal. Appl. 12(2), 1531\u20131539 (2021)","journal-title":"Int. J. Nonlinear Anal. Appl."},{"issue":"2","key":"4_CR47","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1049\/ipr2.12037","volume":"15","author":"M Sharifnejad","year":"2021","unstructured":"Sharifnejad, M., Shahbahrami, A., Akoushideh, A., Hassanpour, R.Z.: Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction. IET Image Process. 15(2), 468\u2013478 (2021)","journal-title":"IET Image Process."},{"key":"4_CR48","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"key":"4_CR49","first-page":"1","volume":"96","author":"P Singh","year":"2021","unstructured":"Singh, P., Verma, P., Singh, N.: Offline signature verification: an application of glcm features in machine learning. Ann. Data Sci. 96, 1\u201313 (2021)","journal-title":"Ann. Data Sci."},{"issue":"11","key":"4_CR50","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0206409","volume":"13","author":"S Solis-Reyes","year":"2018","unstructured":"Solis-Reyes, S., Avino, M., Poon, A., Kari, L.: An open-source k-mer based machine learning tool for fast and accurate subtyping of hiv-1 genomes. PloS One 13(11), e0206409 (2018)","journal-title":"PloS One"},{"issue":"5","key":"4_CR51","doi-asserted-by":"publisher","DOI":"10.1117\/1.JEI.26.5.053017","volume":"26","author":"M Sultana","year":"2017","unstructured":"Sultana, M., Bhatti, M.N.A., Javed, S., Jung, S.-K.: Local binary pattern variants-based adaptive texture features analysis for posed and nonposed facial expression recognition. J. Electron. Imaging 26(5), 053017 (2017)","journal-title":"J. Electron. Imaging"},{"key":"4_CR52","doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"4_CR53","doi-asserted-by":"crossref","unstructured":"Szegedy, C., Vanhoucke, V., Ioffe, S., Shlens, J., Wojna, Z.: Rethinking the inception architecture for computer vision. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2818\u20132826 (2016)","DOI":"10.1109\/CVPR.2016.308"},{"key":"4_CR54","doi-asserted-by":"crossref","unstructured":"Tello-Mijares, S., Woo, L.: Computed tomography image processing analysis in covid-19 patient follow-up assessment. J. Healthcare Eng. 2021 (2021)","DOI":"10.1155\/2021\/8869372"},{"issue":"5","key":"4_CR55","doi-asserted-by":"publisher","first-page":"5497","DOI":"10.1007\/s10489-021-02728-1","volume":"52","author":"HN Vu","year":"2022","unstructured":"Vu, H.N., Nguyen, M.H., Pham, C.: Masked face recognition with convolutional neural networks and local binary patterns. Appl. Intell. 52(5), 5497\u20135512 (2022)","journal-title":"Appl. Intell."},{"issue":"1","key":"4_CR56","doi-asserted-by":"publisher","first-page":"87","DOI":"10.7546\/ijba.2020.24.1.000767","volume":"24","author":"H Wang","year":"2020","unstructured":"Wang, H., Li, L., Zhou, C., Lin, H., Deng, D.: Spark-based parallelization of basic local alignment search tool. Int. J. Bioautom. 24(1), 87 (2020)","journal-title":"Int. J. Bioautom."},{"issue":"3","key":"4_CR57","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/gb-2014-15-3-r46","volume":"15","author":"DE Wood","year":"2014","unstructured":"Wood, D.E., Salzberg, S.L.: Kraken: ultrafast metagenomic sequence classification using exact alignments. Genome Biol. 15(3), 1\u201312 (2014)","journal-title":"Genome Biol."},{"key":"4_CR58","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1016\/j.neucom.2013.10.034","volume":"131","author":"F Yang","year":"2014","unstructured":"Yang, F., Ying-Ying, X., Wang, S.-T., Shen, H.-B.: Image-based classification of protein subcellular location patterns in human reproductive tissue by ensemble learning global and local features. Neurocomputing 131, 113\u2013123 (2014)","journal-title":"Neurocomputing"},{"key":"4_CR59","doi-asserted-by":"crossref","unstructured":"Youssef, K., Feng, W.: Sparkleblast: scalable parallelization of blast sequence alignment using spark. In: 2020 20th IEEE\/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGRID), pp. 539\u2013548. IEEE (2020)","DOI":"10.1109\/CCGrid49817.2020.00-39"},{"issue":"1","key":"4_CR60","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s13059-017-1319-7","volume":"18","author":"A Zielezinski","year":"2017","unstructured":"Zielezinski, A., Vinga, S., Almeida, J., Karlowski, W.M.: Alignment-free sequence comparison: benefits, applications, and tools. Genome Biol. 18(1), 1\u201317 (2017)","journal-title":"Genome Biol."}],"container-title":["Lecture Notes in Networks and Systems","Advances in Information and Communication"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-28073-3_4","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T01:25:45Z","timestamp":1677633945000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-28073-3_4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031280726","9783031280733"],"references-count":60,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-28073-3_4","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"2 March 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"FICC","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Future of Information and Communication Conference","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"San Francisco, CA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2 March 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 March 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ficc2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}