Biohealth, Bioinformatics & Biotech: Databases

Recommended Databases

The following are recommended databases that can be used to search for information on Biohealth, Bioinformatics & Biotech :

Recent Articles in Bioinformatics (indexed in Web of Science)

Bennasar, M., Hicks, Y., & Setchi, R. (2015). Feature selection using Joint Mutual Information Maximisation. Expert Systems with Applications, 42(22), 8520-8532. doi: 10.1016/j.eswa.2015.07.007

Blackall, L. L., Wilson, B., & Van Oppen, A. J. H. (2015). Coral-the world's most diverse symbiotic ecosystem. Molecular Ecology, 24(21), 5330-5347. doi: 10.1111/mec.13400

​Cai, Y. P., Weng, K., Guo, Y., Peng, J., & Zhu, Z. J. (2015). An integrated targeted metabolomic platform for high-throughput metabolite profiling and automated data processing. Metabolomics, 11(6), 1575-1586. doi: 10.1007/s11306-015-0809-4

Cardona, N. I., Moncada, D. M., & Gomez-Marin, J. E. (2015). A rational approach to select immunogenic peptides that induce IFN-gamma response against Toxoplasma gondii in human leukocytes. Immunobiology, 220(12), 1337-1342. doi: 10.1016/j.imbio.2015.07.009

​Chen, F., Qu, J. F., Hao, S. J., Liang, S., & Li, G. (2015). Identification of the Microbial Community Structure and Potential Mechanism of Environmental Adaptation in Contaminated Environments. Geomicrobiology Journal, 32(10), 861-867. doi: 10.1080/01490451.2015.1010752

Ding, C. C., Chen, T., Yang, Y., Liu, S., Yan, K., Yue, X. L., . . . Chen, S. Y. (2015). Molecular cloning and characterization of an S-adenosylmethionine synthetase gene from Chorispora bungeana. Gene, 572(2), 205-213. doi: 10.1016/j.gene.2015.07.062

Gohari, A. M., Ware, S. B., Wittenberg, A. H. J., Mehrabi, R., Ben M'Barek, S., Verstappen, E. C. P., . . . Kema, G. H. J. (2015). Effector discovery in the fungal wheat pathogen Zymoseptoria tritici. Molecular Plant Pathology, 16(9), 931-945. doi: 10.1111/mpp.12251

​Greene, C. S., Tan, J., Ung, M., Moore, J. H., & Cheng, C. (2016). Big Data Bioinformatics (vol 229, pg 1896, 2014). Journal of Cellular Physiology, 231(1), 257-257. doi: 10.1002/jcp.25077

Hanlon, M. R., Vaughn, M., Mock, S., Dooley, R., Moreira, W., Stubbs, J., . . . Pence, E. (2015). Araport: an application platform for data discovery. Concurrency and Computation-Practice & Experience, 27(16), 4412-4422. doi: 10.1002/cpe.3542

Honardoost, M. A., Naghavian, R., Ahmadinejad, F., Hosseini, A., & Ghaedi, K. (2015). Integrative computational mRNA-miRNA interaction analyses of the autoimmune-deregulated miRNAs and well-known Th17 differentiation regulators: An attempt to discover new potential miRNAs involved in Th17 differentiation. Gene, 572(2), 153-162. doi: 10.1016/j.gene.2015.08.043

Honardoost, M. A., Naghavian, R., Ahmadinejad, F., Hosseini, A., & Ghaedi, K. (2015). Integrative computational mRNA-miRNA interaction analyses of the autoimmune-deregulated miRNAs and well-known Th17 differentiation regulators: An attempt to discover new potential miRNAs involved in Th17 differentiation. Gene, 572(2), 153-162. doi: 10.1016/j.gene.2015.08.043

Irwin, M. R., Olmstead, R., Breen, E. C., Witarama, T., Carrillo, C., Sadeghi, N., . . . Cole, S. (2015). Cognitive Behavioral Therapy and Tai Chi Reverse Cellular and Genomic Markers of Inflammation in Late-Life Insomnia: A Randomized Controlled Trial. Biological Psychiatry, 78(10), 721-729. doi: 10.1016/j.biopsych.2015.01.010

Kanth, B. K., Kumari, S., Choi, S. H., Ha, H. J., & Lee, G. J. (2015). Generation and analysis of expressed sequence tags (ESTs) of Camelina sativa to mine drought stress-responsive genes. Biochemical and Biophysical Research Communications, 467(1), 83-93. doi: 10.1016/j.bbrc.2015.09.116

​Keller, R. C. A. (2015). The role and significance of potential lipid-binding regions in the mitochondrial protein import motor: an in-depth in silico study. 3 Biotech, 5(6), 1041-1051. doi: 10.1007/s13205-015-0310-9

Mihasan, M. (2015). BIOINFORMATICS-BASED MOLECULAR CLASSIFICATION OF Arthrobacter PLASMIDS. Cellular & Molecular Biology Letters, 20(4), 612-625. doi: 10.1515/cmble-2015-0036

​Mokbel, B., Paassen, B., Schleif, F. M., & Hammer, B. (2015). Metric learning for sequences in relational LVQ. Neurocomputing, 169, 306-322. doi: 10.1016/j.neucom.2014.11.082

​Pop, M., & Salzberg, S. L. (2015). Use and mis-use of supplementary material in science publications. Bmc Bioinformatics, 16. doi: 10.1186/s12859-015-0668-z

Rao, X. J., Shahzad, T., Liu, S., Wu, P., He, Y. T., Sun, W. J., . . . Yu, X. Q. (2015). Identification of C-type lectin-domain proteins (CTLDPs) in silkworm Bombyx mori. Developmental and Comparative Immunology, 53(2), 328-338. doi: 10.1016/j.dci.2015.07.005

Santander-Jimenez, S., & Vega-Rodriguez, M. A. (2015). On the design of shared memory approaches to parallelize a multiobjective bee-inspired proposal for phylogenetic reconstruction. Information Sciences, 324, 163-185. doi: 10.1016/j.ins.2015.06.040

Santiesteban-Toca, C. E., & Aguilar-Ruiz, J. S. (2015). A new multiple classifier system for the prediction of protein's contacts map. Information Processing Letters, 115(12), 983-990. doi: 10.1016/j.ipl.2015.06.008

​Selitsky, S. R., & Sethupathy, P. (2015). tDRmapper: challenges and solutions to mapping, naming, and quantifying tRNA-derived RNAs from human small RNA-sequencing data. Bmc Bioinformatics, 16. doi: 10.1186/s12859-015-0800-0

​Verma, A., Jiang, Y. W., Du, W., Fairchild, L., Melnick, A., & Elemento, O. (2015). Transcriptome sequencing reveals thousands of novel long non-coding RNAs in B cell lymphoma. Genome Medicine, 7. doi: 10.1186/s13073-015-0230-7

​Wang, D. M., Zhang, D., & Lu, G. M. (2016). A robust signal preprocessing framework for wrist pulse analysis. Biomedical Signal Processing and Control, 23, 62-75. doi: 10.1016/j.bspc.2015.08.002

Wang, S., Zhang, K. K., Huang, X., Fan, Y. J., Yang, L. T., & Li, Y. R. (2015). Cloning and Functional Analysis of Thylakoidal Ascorbate Peroxidase (TAPX) Gene in Sugarcane. Sugar Tech, 17(4), 356-366. doi: 10.1007/s12355-014-0354-x

Wang, Y., Zou, X. Q., Guo, Y., Wang, L., Liu, Y. M., Zeng, Q. C., & Zhang, X. Z. (2015). MECHANICAL STRAIN AFFECTS SOME microRNA PROFILES IN PRE-OETEOBLASTS. Cellular & Molecular Biology Letters, 20(4), 586-596. doi: 10.1515/cmble-2015-0034

Wang, Y. Y., Cai, Y. P., & Miao, Y. B. (2015). Evolving-Pattern Analysis of Transient and Long-Term Biomarkers for Cancers: Hepatocellular Carcinoma as a Case. Interdisciplinary Sciences-Computational Life Sciences, 7(4), 414-422. doi: 10.1007/s12539-015-0276-7

Wen, J., Ickert-Bond, S. M., Appelhans, M. S., Dorr, L. J., & Funk, V. A. (2015). Collections-based systematics: Opportunities and outlook for 2050. Journal of Systematics and Evolution, 53(6), 477-488. doi: 10.1111/jse.12181

Willems, S., Fraiture, M. A., Deforce, D., De Keersmaecker, S. C. J., De Loose, M., Ruttink, T., . . . Roosens, N. (2016). Statistical framework for detection of genetically modified organisms based on Next Generation Sequencing. Food Chemistry, 192, 788-798. doi: 10.1016/j.foodchem.2015.07.074

​Zhang, Y. J., Zhu, Q., & Liu, H. F. (2015). Next generation informatics for big data in precision medicine era. Biodata Mining, 8. doi: 10.1186/s13040-015-0064-2