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Sudhir Kumar

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Sudhir Kumar

  • College of Science and Technology

    • Biology

      • Laura H. Carnell Professor

Biography

Sudhir Kumar joined CIS as a Carnell Professor. His primary appointment is in the Department of Biology and he is the founding director of the Institute for Genomics and Evolutionary Medicine (iGEM). Dr. Kumar uses informatics as primary research tool to discover biological patterns and to make predictions in subject matters spanning the tree of life to the diagnosis of disease mutations. He has developed many algorithms, statistical methods, computer software, and web databases in biology and genomics. Recently, Thomson Reuters ScienceWatch designated him the Most Highly Cited Researcher in Computer Science in the last 10 years. Dr. Kumar has written over 150 papers, including many citation classics and hot papers. Dr. Kumar was elected Fellow of the American Association for the Advancement of Science (AAAS) for exemplary contributions in evolutionary bioinformatics, particularly in developing high-impact comparative analysis software for biologists and in illuminating the evolutionary dynamics of mutations and species through comparative genomics. He would like iGEM to catalyze strong collaborations across departments and colleges by embarking on new cross-cutting research project and recruiting faculty members in genomics, bioinformatics, and computational biology.

Courses Taught

Number

Name

Level

BIOL 3380

Genomic Foundations of Medicine

Undergraduate

BIOL 8210

"Molecular Phylogenetics."

Graduate

Selected Publications

Recent

  • Barba-Montoya, J., Tao, Q., & Kumar, S. (2021). Molecular and morphological clocks for estimating evolutionary divergence times. BMC Ecology and Evolution, 21(1). doi: 10.1186/s12862-021-01798-6.

  • Chroni, A. & Kumar, S. (2021). Tumors Are Evolutionary Island-Like Ecosystems. Genome Biology and Evolution, 13(12), evab276. doi: 10.1093/gbe/evab276.

  • Chroni, A., Miura, S., Oladeinde, O., Aly, V., & Kumar, S. (2021). Migrations of cancer cells through the lens of phylogenetic biogeography. Scientific Reports, 11(1). doi: 10.1038/s41598-021-96215-9.

  • Kumar, S. (2021). A Report by the Editor-in-Chief for Molecular Biology and Evolution (MBE), Volume 37. Molecular Biology and Evolution, 38(12), 5830-5830. doi: 10.1093/molbev/msab319.

  • Barba-Montoya, J., Tao, Q., & Kumar, S. (2021). Assessing Rapid Relaxed-Clock Methods for Phylogenomic Dating. Genome Biology and Evolution, 13(11), evab251. doi: 10.1093/gbe/evab251.

  • Kumar, S. & Sharma, S. (2021). Evolutionary Sparse Learning for Phylogenomics. Molecular Biology and Evolution, 38(11), 4674-4682. doi: 10.1093/molbev/msab227.

  • Singh, D., Pandey, A., Choudhary, S.B., Kumar, S., Tribhuvan, K., Mishra, D., Bhati, J., Kumar, M., Tomar, J., Bishnoi, S., Mallick, M., Bhadana, V., Sharma, T., Pattanayak, A., & Singh, B. (2021). Development of genic-SSR markers and their application in revealing genetic diversity and population structure in an Eastern and North-Eastern Indian collection of Jack (Artocarpus heterophyllus Lam.) Ecological Indicators, 131. doi: 10.1016/j.ecolind.2021.108143.

  • Dasari, K., Somarelli, J., Kumar, S., & Townsend, J. (2021). The somatic molecular evolution of cancer: Mutation, selection, and epistasis. Progress in Biophysics and Molecular Biology, 165, 56-65. doi: 10.1016/j.pbiomolbio.2021.08.003.

  • Sharma, S. & Kumar, S. (2021). Fast and accurate bootstrap confidence limits on genome-scale phylogenies using little bootstraps. Nature Computational Science, 1(9), 573-577. doi: 10.1038/s43588-021-00129-5.

  • Kumar, S., Tao, Q., Weaver, S., Sanderford, M., Caraballo-Ortiz, M., Sharma, S., Pond, S., & Miura, S. (2021). An Evolutionary Portrait of the Progenitor SARS-CoV-2 and Its Dominant Offshoots in COVID-19 Pandemic. Molecular Biology and Evolution, 38(8), 3046-3059. doi: 10.1093/molbev/msab118.

  • Tao, Q., Barba-Montoya, J., & Kumar, S. Data-driven speciation tree prior for better species divergence times in calibration-poor molecular phylogenies. BIOINFORMATICS, 37, I102-I110. 10.1093/bioinformatics/btab307

  • Tamura, K., Stecher, G., & Kumar, S. (2021). MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Molecular Biology and Evolution, 38(7), 3022-3027. doi: 10.1093/molbev/msab120.

  • Patel, R. & Kumar, S. (2021). Epistasis produces an excess of invariant sites in neutral molecular evolution. Proceedings of the National Academy of Sciences of the United States of America, 118(18). doi: 10.1073/pnas.2018767118.

  • Liu, L., Chandrashekar, P., Zeng, B., Sanderford, M., Kumar, S., & Gibson, G. (2021). TreeMap: A structured approach to fine mapping of eQTL variants. Bioinformatics, 37(8), 1125-1134. doi: 10.1093/bioinformatics/btaa927.

  • Scheinfeldt, L., Brangan, A., Kusic, D., Kumar, S., & Gharani, N. (2021). Common treatment, common variant: Evolutionary prediction of functional pharmacogenomic variants. Journal of Personalized Medicine, 11(2), 1-13. doi: 10.3390/jpm11020131.

  • Babaian, C. & Kumar, S. (2021). How to Build a Super Predator: From Genotype to Phenotype. American Biology Teacher, 83(3), 138-146. doi: 10.1525/abt.2021.83.3.138.

  • Mello, B., Tao, Q., Barba-Montoya, J., & Kumar, S. (2021). Molecular dating for phylogenies containing a mix of populations and species by using Bayesian and RelTime approaches. Molecular Ecology Resources, 21(1), 122-136. doi: 10.1111/1755-0998.13249.

  • Rowe, H. & Kumar, S. (2021). MBE Emerging Classics 2021. Molecular Biology and Evolution, 38(1), 1. doi: 10.1093/molbev/msaa310.

  • Cai, L., Wang, Z., Kulathinal, R., Kumar, S., & Ji, S. (2021). Deep Low-Shot Learning for Biological Image Classification and Visualization From Limited Training Samples. IEEE Transactions on Neural Networks and Learning Systems. doi: 10.1109/TNNLS.2021.3106831.

  • Kumar, S. (2020). A report by the editor-in-chief for molecular biology and evolution (MBE), volume 36. Molecular Biology and Evolution, 37(12), 3699-3700. doi: 10.1093/molbev/msaa205.

  • Kumar, S. & Rowe, H. (2020). MBE transitions to the open access publication model in 2021. Molecular Biology and Evolution, 37(12), 3397-3398. doi: 10.1093/molbev/msaa269.

  • Kumar, S., Chroni, A., Tamura, K., Sanderford, M., Oladeinde, O., Aly, V., Vu, T., & Miura, S. (2020). PathFinder: Bayesian inference of clone migration histories in cancer. Bioinformatics, 36, I675-I683. doi: 10.1093/bioinformatics/btaa795.

  • Barba-Montoya, J., Tao, Q., & Kumar, S. (2020). Using a GTR1C substitution model for dating sequence divergence when stationarity and time-reversibility assumptions are violated. Bioinformatics, 36, I884-I894. doi: 10.1093/bioinformatics/btaa820.

  • Miura, S., Vu, T., Deng, J., Buturla, T., Oladeinde, O., Choi, J., & Kumar, S. (2020). Power and pitfalls of computational methods for inferring clone phylogenies and mutation orders from bulk sequencing data. Scientific Reports, 10(1). doi: 10.1038/s41598-020-59006-2.

  • Pyott, S., Tuinen, M.v., Screven, L., Schrode, K., Bai, J., Barone, C., Price, S., Lysakowski, A., Sanderford, M., Kumar, S., Santos-Sacchi, J., Lauer, A., & Park, T. (2020). Functional, Morphological, and Evolutionary Characterization of Hearing in Subterranean, Eusocial African Mole-Rats. Current Biology, 30(22), 4329-4341.e4. doi: 10.1016/j.cub.2020.08.035.

  • Babaian, C. & Kumar, S. (2020). Molecular memories of a Cambrian Fossil. American Biology Teacher, 82(9), 586-595. doi: 10.1525/abt.2020.82.9.586.

  • Dubey, B., Jackson, M., Zeigler-Johnson, C., Devarajan, K., Flores-Obando, R.E., McFarlane-Anderson, N., Tulloch-Reid, M., Aiken, W., Kimbro, K., Reed, D., Kidd, L.R., Gibbs, D., Kumar, S., & Ragin, C. Interactive effect of TLR SNPs and exposure to sexually transmitted infections on prostate cancer risk in Jamaican men. PROSTATE, 80(15), 1365-1372. 10.1002/pros.24067

  • Vasumathy, S., Peringottillam, M., Sundaram, K., Kumar, S., & Alagu, M. (2020). Genome- wide structural and functional variant discovery of rice landraces using genotyping by sequencing. Molecular Biology Reports, 47(10), 7391-7402. doi: 10.1007/s11033-020-05794-9.

  • Kumar, S., Tao, Q., Weaver, S., Sanderford, M., Caraballo-Ortiz, M.A., Sharma, S., Pond, S.L., & Miura, S. (2020). An evolutionary portrait of the progenitor SARS-CoV-2 and its dominant offshoots in COVID-19 pandemic. doi: 10.1101/2020.09.24.311845.

  • Leitner, T. & Kumar, S. (2020). Where Did SARS-CoV-2 Come From? Molecular Biology and Evolution, 37(9), 2463-2464. doi: 10.1093/molbev/msaa162.

  • Zhou, X., Dou, Q., Fan, G., Zhang, Q., Sanderford, M., Kaya, A., Johnson, J., Karlsson, E., Tian, X., Mikhalchenko, A., Kumar, S., Seluanov, A., Zhang, Z., Gorbunova, V., Liu, X., & Gladyshev, V. (2020). Beaver and Naked Mole Rat Genomes Reveal Common Paths to Longevity. Cell Reports, 32(4). doi: 10.1016/j.celrep.2020.107949.

  • Zhang, W., Li, R., Zeng, T., Sun, Q., Kumar, S., Ye, J., & Ji, S. (2020). Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. IEEE Transactions on Big Data, 6(2), 322-333. doi: 10.1109/TBDATA.2016.2573280.

  • Vismaya, K., Panicker, V., Kumar, S., Narayanan, A., Kavitha, S., & Lakshmanan, B. (2020). Clinico-haematological evaluation and molecular identification of babesia gibsoni, babesia canis vogeli, ehrlichia canis and trypanosoma evansi in dogs. Journal of Veterinary Parasitology, 34(1), 17-26. doi: 10.5958/0974-0813.2020.00004.2.

  • Tao, Q., Barba-Montoya, J., Huuki, L., Durnan, M., & Kumar, S. (2020). Relative efficiencies of simple and complex substitution models in estimating divergence times in phylogenomics. Molecular Biology and Evolution, 37(6), 1819-1831. doi: 10.1093/molbev/msaa049.

  • Campitelli, P., Modi, T., Kumar, S., & Ozkan, S.B. (2020). The Role of Conformational Dynamics and Allostery in Modulating Protein Evolution. Annual Review of Biophysics, 49, 267-288. doi: 10.1146/annurev-biophys-052118-115517.

  • Stecher, G., Tamura, K., & Kumar, S. (2020). Molecular evolutionary genetics analysis (MEGA) for macOS. Molecular Biology and Evolution, 37(4), 1237-1239. doi: 10.1093/molbev/msz312.

  • Ose, N., Butler, B.M., Kumar, A., Ozkan, S.B., & Kumar, S. (2020). Dynamic Allosteric Residue Coupling Reveals Disease Mechanism for Gaucher Disease and NSNVS Across the Proteome. BIOPHYSICAL JOURNAL, 118(3), 53A-53A. Retrieved from http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000513023200265&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=abcd71df5a6dac31fd219478b0a9c638.

  • Somarelli, J., Gardner, H., Cannataro, V., Gunady, E., Boddy, A., Johnson, N., Fisk, J., Gaffney, S., Chuang, J., Li, S., Ciccarelli, F., Panchenko, A., Megquier, K., Kumar, S., Dornburg, A., Degregori, J., & Townsend, J. (2020). Molecular Biology and Evolution of Cancer: From Discovery to Action. Molecular Biology and Evolution, 37(2), 320-326. doi: 10.1093/molbev/msz242.

  • Tao, Q., Tamura, K., Mello, B., & Kumar, S. (2020). Reliable Confidence Intervals for RelTime Estimates of Evolutionary Divergence Times. Molecular Biology and Evolution, 37(1), 280-290. doi: 10.1093/molbev/msz236.

  • Miura, S., Tamura, K., Tao, Q., Huuki, L., Pond, S.K., Priest, J., Deng, J., & Kumar, S. (2020). A new method for inferring timetrees from temporally sampled molecular sequences. PLoS Computational Biology, 16(1). doi: 10.1371/journal.pcbi.1007046.

  • Kumar, S. & Rowe, H. (2020). MBE Emerging Classics 2020. Molecular Biology and Evolution, 37(1), 1. doi: 10.1093/molbev/msz285.

  • Kumar, S. (2020). A Report by the Editor-in-Chief for Molecular Biology and Evolution (MBE), Volume 35. Molecular Biology and Evolution, 37(1), 300. doi: 10.1093/molbev/msz277.

  • Chandrashekar, P., Ahmadinejad, N., Wang, J., Sekulic, A., Egan, J., Asmann, Y., Kumar, S., Maley, C., & Liu, L. (2020). Somatic selection distinguishes oncogenes and tumor suppressor genes. Bioinformatics, 36(6), 1712-1717. doi: 10.1093/bioinformatics/btz851.

  • Maheshan, M., Harish, B., & Kumar, S. (2020). Sclera segmentation using spatial kernel fuzzy clustering methods. ICPRAM 2020 - Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 433-439.

  • Chroni, A., Vu, T., Miura, S., & Kumar, S. (2019). Delineation of tumor migration paths by using a bayesian biogeographic approach. Cancers, 11(12). doi: 10.3390/cancers11121880.

  • Liu, L., Sanderford, M., Patel, R., Chandrashekar, P., Gibson, G., & Kumar, S. (2019). Biological relevance of computationally predicted pathogenicity of noncoding variants. Nature Communications, 10(1). doi: 10.1038/s41467-018-08270-y.

  • Babaian, C. & Kumar, S. (2019). Adventures in Evolution: The Narrative of Tardigrada, Trundlers in Time. American Biology Teacher, 81(8), 543-552. doi: 10.1525/abt.2019.81.8.543.

  • Xu, K., Kosoy, R., Shameer, K., Kumar, S., Liu, L., Readhead, B., Belbin, G.M., Lee, H., Chen, R., & Dudley, J.T. (2019). Genome-wide analysis indicates association between heterozygote advantage and healthy aging in humans. BMC GENETICS, 20. 10.1186/s12863-019-0758-4

  • Patel, R. & Kumar, S. (2019). On estimating evolutionary probabilities of population variants. BMC Evolutionary Biology, 19(1). doi: 10.1186/s12862-019-1455-7.

  • Tao, Q., Tamura, K., Battistuzzi, F., & Kumar, S. (2019). A machine learning method for detecting autocorrelation of evolutionary rates in large phylogenies. Molecular Biology and Evolution, 36(4), 811-824. doi: 10.1093/molbev/msz014.

  • Maurya, S., Rashk-E-Eram, Naik, S., Choudhary, J., & Kumar, S. (2019). Heavy Metals Scavenging Potential of Trichoderma asperellum and Hypocrea nigricans Isolated from Acid Soil of Jharkhand. Indian Journal of Microbiology, 59(1), 27-38. doi: 10.1007/s12088-018-0756-7.

  • Kumar, S. (2019). A Report by the Editor-in-Chief for Molecular Biology and Evolution (MBE), Volume 34. Molecular Biology and Evolution, 36(1), 202. doi: 10.1093/molbev/msy219.

  • Kumar, S. (2019). MBE Citation Classics (2019 Edition). Molecular Biology and Evolution, 36(1), 1-3. doi: 10.1093/molbev/msy239.

  • Miura, S., Gomez, K., Murillo, O., Huuki, L., Vu, T., Buturla, T., & Kumar, S. (2018). Predicting clone genotypes from tumor bulk sequencing of multiple samples. Bioinformatics, 34(23), 4017-4026. doi: 10.1093/bioinformatics/bty469.

  • Hedges, S., Tao, Q., Walker, M., & Kumar, S. (2018). Accurate timetrees require accurate calibrations. Proceedings of the National Academy of Sciences of the United States of America, 115(41), E9510-E9511. doi: 10.1073/pnas.1812558115.

  • Miura, S., Huuki, L., Buturla, T., Vu, T., Gomez, K., & Kumar, S. (2018). Computational enhancement of single-cell sequences for inferring tumor evolution. Bioinformatics, 34(17), i917-i926. doi: 10.1093/bioinformatics/bty571.

  • Patel, R., Scheinfeldt, L., Sanderford, M., Lanham, T., Tamura, K., Platt, A., Glicksberg, B., Xu, K., Dudley, J., & Kumar, S. (2018). Adaptive landscape of protein variation in human exomes. Molecular Biology and Evolution, 35(8), 2015-2025. doi: 10.1093/molbev/msy107.

  • Tamura, K., Tao, Q., & Kumar, S. (2018). Theoretical foundation of the reltime method for estimating divergence times from variable evolutionary rates. Molecular Biology and Evolution, 35(7), 1770-1782. doi: 10.1093/molbev/msy044.

  • Yoder, A., Poelstra, J., Tiley, G., Williams, R., & Kumar, S. (2018). Neutral theory is the foundation of conservation genetics. Molecular Biology and Evolution, 35(6), 1322-1326. doi: 10.1093/molbev/msy076.

  • Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. MOLECULAR BIOLOGY and EVOLUTION, 35(6), 1547-1549. 10.1093/molbev/msy096

  • Battistuzzi, F., Tao, Q., Jones, L., Tamura, K., & Kumar, S. (2018). RelTime relaxes the strict molecular clock throughout the phylogeny. Genome Biology and Evolution, 10(6), 1631-1636. doi: 10.1093/gbe/evy118.

  • Kumar, S., Stecher, G., Li, M., Knyaz, C., & Tamura, K. (2018). MEGA X: Molecular evolutionary genetics analysis across computing platforms. Molecular Biology and Evolution, 35(6), 1547-1549. doi: 10.1093/molbev/msy096.

  • Kumar, S. & Patel, R. (2018). Neutral theory, disease mutations, and personal exomes. Molecular Biology and Evolution, 35(6), 1297-1303. doi: 10.1093/molbev/msy085.

  • Singh, P., Tang, M., Kumar, S., & Shrivastava, A. (2018). Decoding the role of hypothetical protein All3255 of Anabaena PCC7120 in heavy metal stress management in Escherichia coli. Archives of Microbiology, 200(3), 463-471. doi: 10.1007/s00203-017-1462-2.

  • Kumar, S., Panwar, A., Kumar, S., Shamim, M., & Mishra, D. (2018). Statistical data analysis tools: Software prospects for crop productivity. In Eco-friendly Agro-biological Techniques for Enhancing Crop Productivity (pp. 275-282). doi: 10.1007/978-981-10-6934-5_12.

  • Choudhary, D., Kothari, P., Tripathi, A., Singh, S., Adhikary, S., Ahmad, N., Kumar, S., Dev, K., Mishra, V., Shukla, S., Maurya, R., Mishra, P., & Trivedi, R. (2018). Spinacia oleracea extract attenuates disease progression and sub-chondral bone changes in monosodium iodoacetate-induced osteoarthritis in rats. BMC Complementary and Alternative Medicine, 18(1). doi: 10.1186/s12906-018-2117-9.

  • Gomez, K., Miura, S., Huuki, L., Spell, B., Townsend, J., & Kumar, S. (2018). Somatic evolutionary timings of driver mutations. BMC Cancer, 18(1). doi: 10.1186/s12885-017-3977-y.

  • Kumar, S. & Rowe, H. (2018). MBE Citation Classics (2018 Edition). Molecular Biology and Evolution, 35(1), 1-2. doi: 10.1093/molbev/msx313.

  • Kumar, S. A Report by the Editor-in-Chief for MBE, Volume 33. MOLECULAR BIOLOGY and EVOLUTION, 34(12), 3311-3311. 10.1093/molbev/msx280

  • Umakanth, B., Vishalakshi, B., Kumar, P.S., Dev, S.R., Bhadana, V., Senguttuvel, P., Kumar, S., Sharma, S., Sharma, P., Prasad, M., & Madhav, M. (2017). Diverse rice landraces of north-east india enables the identification of novel genetic resources for magnaporthe resistance. Frontiers in Plant Science, 8. doi: 10.3389/fpls.2017.01500.

  • Miura, S., Gomez, K., Murillo, O., & Kumar, S. A new method to infer clonal sequences and phylogenies from personal tumor genome profiles. CANCER RESEARCH, 77. 10.1158/1538-7445.AM2017-3591

  • Kumar, S., Stecher, G., Suleski, M., & Hedges, S. (2017). TimeTree: A Resource for Timelines, Timetrees, and Divergence Times. Molecular Biology and Evolution, 34(7), 1812-1819. doi: 10.1093/molbev/msx116.

  • Thenua, O., Kumar, S., Raj, V., & Singh, S. (2017). Productivity and economics of fenugreek (Trigonella foenum-graecum) and maize (Zea mays) as influenced by nutrient management practices in winter maize-based cropping system. Indian Journal of Agronomy, 62(2), 206-210.

  • Adhikary, S., Choudhary, D., Ahmad, N., Kumar, S., Dev, K., Mittapelly, N., Pandey, G., Mishra, P., Maurya, R., & Trivedi, R. (2017). Dried and free flowing granules of Spinacia oleracea accelerate bone regeneration and alleviate postmenopausal osteoporosis. Menopause, 24(6), 686-698. doi: 10.1097/GME.0000000000000809.

  • Karim, S., Eldin, H.N., Abusamra, H., Salem, N., Alhathli, E., Dudley, J., Sanderford, M., Scheinfeldt, L., Chaudhary, A., Al-Qahtani, M., & Kumar, S. (2017). Erratum to: E-GRASP: An integrated evolutionary and GRASP resource for exploring disease associations [BMC Genomics. 17 Suppl 9 (2016)(770)] DOI: 10.1186/s12864-016-3088-1. BMC Genomics, 18(1). doi: 10.1186/s12864-017-3647-0.

  • Singh, H., Singh, S., Srivastava, A., Tandon, P., Bharti, P., Kumar, S., Dev, K., & Maurya, R. (2017). Study of hydrogen-bonding, vibrational dynamics and structure-activity relationship of genistein using spectroscopic techniques coupled with DFT. Journal of Molecular Structure, 1130, 929-939. doi: 10.1016/j.molstruc.2016.10.077.

  • Ali, D., Ali, H., Alarifi, S., Al-Amer, A., Kumar, P., Kumar, S., Masih, A., Alkahtani, S., Alkahtane, A., & Hussain, S. (2017). Genotoxicity in the freshwater gastropod Lymnaea luteola L: assessment of cell type sensitivities to lead nitrate. Chemistry and Ecology, 33(2), 171-179. doi: 10.1080/02757540.2016.1275587.

  • Singh, A., Shree, S., Chattopadhyay, S., Kumar, S., Gurjar, A., Kushwaha, S., Kumar, H., Trivedi, A., Chattopadhyay, N., Maurya, R., Ramachandran, R., & Sanyal, S. (2017). Small molecule adiponectin receptor agonist GTDF protects against skeletal muscle atrophy. Molecular and Cellular Endocrinology, 439, 273-285. doi: 10.1016/j.mce.2016.09.013.

  • Mello, B., Tao, Q., Tamura, K., & Kumar, S. (2017). Fast and accurate estimates of divergence times from big data. Molecular Biology and Evolution, 34(1), 45-50. doi: 10.1093/molbev/msw247.

  • Kumar, S. (2017). MBE citation classics (2017 edition). Molecular Biology and Evolution, 34(1), 1-3. doi: 10.1093/molbev/msw281.

  • Katsura, Y., Stanley, C., Kumar, S., & Nei, M. (2017). The reliability and stability of an inferred phylogenetic tree from empirical data. Molecular Biology and Evolution, 34(3), 718-723. doi: 10.1093/molbev/msw272.

  • Yangdol, R., Kumar, S., & Sharma, Y. (2017). Some pyronemataceous macrofungi from Ladakh (J & K), India. Current Research in Environmental and Applied Mycology, 7(4), 293-300. doi: 10.5943/cream/7/4/6.

  • Kumar, S., Konikoff, C., Sanderford, M., Liu, L., Newfeld, S., Ye, J., & Kulathinal, R. (2017). FlyExpress 7: An integrated discovery platform to study coexpressed genes using in situ hybridization images in Drosophila. G3: Genes, Genomes, Genetics, 7(8), 2791-2797. doi: 10.1534/g3.117.040345.