Citiation Applied bioinformatics computational biology

Articles published in Journal of Applied Bioinformatics & Computational Biology have been cited by esteemed scholars and scientists all around the world. Journal of Applied Bioinformatics & Computational Biology has got h-index 7, which means every article in Journal of Applied Bioinformatics & Computational Biology has got 7 average citations.

Following are the list of articles that have cited the articles published in Journal of Applied Bioinformatics & Computational Biology.

  2022 2021 2020 2019 2018

Year wise published articles

35 61 26 18 18

Year wise citations received

24 28 34 47 59
Journal total citations count 305
Journal Impact Factor 0.61
Journal 5 years Impact Factor 0.61
Journal CiteScore 1.03
Journal h-index 7
Journal h-index since 2017 6
Gajula, M. P. Sequence to Structure Analysis of DOPA Protein from Mucuna pruriens: A Computational Biology Approach. CHIMERA, 1, 22.
Ezediuno, L. O., Onile, O. S., Oladipo, E. K., Majolagbe, O. N., Jimah, E. M., & Senbadejo, T. Y. (2021). Designing multi-epitope subunit vaccine for ocular trachoma infection using Chlamydia trachomatis polymorphic membrane proteins G. Informatics in Medicine Unlocked, 26, 100764.
Ezediuno, L. O., Onile, O. S., Oladipo, E. K., Majolagbe, O. N., Jimah, E. M., & Senbadejo, T. Y. (2021). Designing multi-epitope subunit vaccine for ocular trachoma infection using Chlamydia trachomatis polymorphic membrane proteins G. Informatics in Medicine Unlocked, 26, 100764.
Chukwudozie, O. S. (2020). The function annotations of ST3GAL4 in human LAMP1 and Lassa virus GP-C interaction from the perspective of systems virology. Access Microbiology, 2(8).
Saleh, A. Y., & Baiwei, L. (2021, August). Dengue Prediction Using Deep Learning With Long Short-Term Memory. In 2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA) (pp. 1-5). IEEE.
Herzeel, C., Ashby, T. J., Costanza, P., & De Meuter, W. (2013, September). Resolving Load Balancing Issues in BWA on NUMA multicore architectures. In International Conference on Parallel Processing and Applied Mathematics (pp. 227-236). Springer, Berlin, Heidelberg.
Tovar, B., da Silva, R. F., Juve, G., Deelman, E., Allcock, W., Thain, D., & Livny, M. (2017). A job sizing strategy for high-throughput scientific workflows. IEEE Transactions on Parallel and Distributed Systems, 29(2), 240-253.
Mziaut, H., Mulligan, B., Hoboth, P., Otto, O., Ivanova, A., Herbig, M., ... & Solimena, M. (2016). The F-actin modifier villin regulates insulin granule dynamics and exocytosis downstream of islet cell autoantigen 512. Molecular metabolism, 5(8), 656-668.
Kaiser, J., Gad, R., Süß, T., Padua, F., Nagel, L., & Brinkmann, A. (2016, September). Deduplication potential of HPC applications’ checkpoints. In 2016 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 413-422). IEEE.
Expósito, R. R., González-Domínguez, J., & Tourino, J. (2018). HSRA: Hadoop-based spliced read aligner for RNA sequencing data. Plos one, 13(7), e0201483.
Duan, X., Xu, K., Chan, Y., Hundt, C., Schmidt, B., Balaji, P., & Liu, W. (2017, September). S-aligner: Ultrascalable read mapping on sunway taihu light. In 2017 IEEE International Conference on Cluster Computing (CLUSTER) (pp. 36-46). IEEE.
Rostovskaya, M., Donsante, S., Sacchetti, B., Alexopoulou, D., Klemroth, S., Dahl, A., ... & Anastassiadis, K. (2018). Clonal analysis delineates transcriptional programs of osteogenic and adipogenic lineages of adult mouse skeletal progenitors. Stem cell reports, 11(1), 212-227.
Rostovskaya, M., Donsante, S., Sacchetti, B., Alexopoulou, D., Klemroth, S., Dahl, A., ... & Anastassiadis, K. (2018). Clonal analysis delineates transcriptional programs of osteogenic and adipogenic lineages of adult mouse skeletal progenitors. Stem cell reports, 11(1), 212-227.
Matsumoto, M., Fujimoto, J., Tekawa, M., & Tamura, T. (2004, May). A macroeconomic analysis of the relationship between IT industries and environmental policies. In IEEE International Symposium on Electronics and the Environment, 2004. Conference Record. 2004 (pp. 17-22). IEEE.
González-Domínguez, J., Hundt, C., & Schmidt, B. (2018). parSRA: A framework for the parallel execution of short read aligners on compute clusters. Journal of Computational Science, 25, 134-139.
Del Fabbro, C., Tardivo, F., & Policriti, A. (2014, February). A parallel algorithm for the best k-mismatches alignment problem. In 2014 22nd euromicro international conference on parallel, distributed, and network-based processing (pp. 586-589). IEEE.
Zou, Y., Zhu, Y., Li, Y., Wu, F. X., & Wang, J. (2021). Parallel computing for genome sequence processing. Briefings in Bioinformatics.
Jacquemin, J., Hohmann, N., Buti, M., Selvaggi, A., Müller, T., Koch, M. A., & Schmid, K. J. (2016). Levels and patterns of genetic diversity differ between two closely related endemic Arabidopsis species. BioRxiv, 048785.
Li, C. (2021). IMPROVING BWA-MEM WITH GPU PARALLEL COMPUTING.
Li, C. (2021). IMPROVING BWA-MEM WITH GPU PARALLEL COMPUTING.
Shi, L. (2020). Leveraging Big Data and Machine Learning Technologies for Accurate and Scalable Genomic Analysis (Doctoral dissertation, The Florida State University).
Xia, Z., Cui, Y., Zhang, A., Tang, T., Peng, L., Huang, C., ... & Liao, X. (2021). A Review of Parallel Implementations for the Smith–Waterman Algorithm. Interdisciplinary Sciences: Computational Life Sciences, 1-14.
Feng, W., Zhang, D., Zhang, J., Hou, K., Pumma, S., & Wang, H. (2020, September). A Feasibility Study for MPI over HDFS. In 2020 IEEE High Performance Extreme Computing Conference (HPEC) (pp. 1-7). IEEE.
Del Fabbro, C., Tardivo, F., & Policriti, A. (2014, February). A parallel algorithm for the best k-mismatches alignment problem. In 2014 22nd euromicro international conference on parallel, distributed, and network-based processing (pp. 586-589). IEEE.
Shi, L., & Wang, Z. (2019). Computational strategies for scalable genomics analysis. Genes, 10(12), 1017.
Zhang, Q., Kremer-Herman, N., Tovar, B., & Thain, D. (2018, November). Reduction of Workflow Resource Consumption Using a Density-based Clustering Model. In 2018 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS) (pp. 1-9). IEEE.

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