Ma, Jian

Evolutionary and biomedical insights from the rhesus macaque genome.

Gibbs, R. A., Rogers, J., Katze, M. G., Bumgarner, R., Weinstock, G. M., Mardis, E. R., Remington, K. A., Strausberg, R. L., Venter, J. C., Wilson, R. K., et al. (2007) · Science

Genomics and Phylogenetic StudiesChromosomal and Genetic Variations

Cited by 1,403

The yak genome and adaptation to life at high altitude

Qiu, Q., Zhang, G., Ma, T., Qian, W., Wang, J., Ye, Z., Cao, C., Hu, Q., Kim, J., Larkin, D. M., et al. (2012) · Nature Genetics

High Altitude and HypoxiaGenetic and phenotypic traits in livestock

Cited by 983

The human body at cellular resolution: the NIH Human Biomolecular Atlas Program

HuBMAP Consortium, Writing Group, Snyder, M. P., Lin, S., Posgai, A., Atkinson, M., Regev, A., Rood, J., Rozenblatt-Rosen, O., Gaffney, L., et al. (2019) · Nature

Single-cell and spatial transcriptomicsGenomics and Chromatin Dynamics

Cited by 595

Target analysis by integration of transcriptome and ChIP-seq data with BETA

Wang, S., Sun, H., Ma, J., Zang, C., Wang, C., Wang, J., Tang, Q., Meyer, C. A., Zhang, Y., & Liu, X. S. (2013) · Nature Protocols

Genomics and Chromatin DynamicsBioinformatics and Genomic Networks

Cited by 544

A Rewritable, Random-Access DNA-Based Storage System

Tabatabaei Yazdi, S. M. H., Yuan, Y., Ma, J., Zhao, H., & Milenkovic, O. (2015) · Scientific Reports

DNA and Biological ComputingAlgorithms and Data Compression

Cited by 401

Rescaling egocentric vision: Collection, pipeline and challenges for epic-kitchens-100

Damen, D., Doughty, H., Farinella, G. M., Furnari, A., Kazakos, E., Ma, J., Moltisanti, D., Munro, J., Perrett, T., Price, W., et al. (2022) · International Journal of Computer Vision

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 400

DNA-Based Storage: Trends and Methods

Yazdi, S. M. H. T., Kiah, H. M., Garcia-Ruiz, E., Ma, J., Zhao, H., & Milenkovic, O. (2015) · IEEE Transactions on Molecular, Biological and Multi-Scale Communications

DNA and Biological ComputingAlgorithms and Data Compression

Cited by 278

Preferential electrical coupling regulates neocortical lineage-dependent microcircuit assembly

Yu, Y.-C., He, S., Chen, S., Fu, Y., Brown, K. N., Yao, X.-H., Ma, J., Gao, K. P., Sosinsky, G. E., Huang, K., et al. (2012) · Nature

Neurogenesis and neuroplasticity mechanismsConnexins and lens biology

Cited by 219

S100A8 and S100A9 in Cancer

Chen, Y., Ouyang, Y., Li, Z., Wang, X., & Ma, J. (2023) · Biochimica et Biophysica Acta (BBA) - Reviews on Cancer

S100 Proteins and AnnexinsSphingolipid Metabolism and Signaling

Cited by 165

Genome-wide adaptive complexes to underground stresses in blind mole rats Spalax

Fang, X., Nevo, E., Han, L., Levanon, E. Y., Zhao, J., Avivi, A., Larkin, D., Jiang, X., Feranchuk, S., Zhu, Y., et al. (2014) · Nature Communications

Subterranean biodiversity and taxonomyGenomics and Phylogenetic Studies

Cited by 136

Reference-assisted chromosome assembly

Kim, J., Larkin, D. M., Cai, Q., Asan, Zhang, Y., Ge, R.-L., Auvil, L., Capitanu, B., Zhang, G., Lewin, H. A., et al. (2013) · Proceedings of the National Academy of Sciences

Genomics and Phylogenetic StudiesChromosomal and Genetic Variations

Cited by 128

NIH SenNet Consortium to map senescent cells throughout the human lifespan to understand physiological health.

SenNet Consortium, Writing Group, Lee, P. J., Benz, C. C., Blood, P., Börner, K., Campisi, J., Chen, F., Daldrup-Link, H., De Jager, P., et al. (2022) · Nature Aging

Telomeres, Telomerase, and SenescenceGenetics, Aging, and Longevity in Model Organisms

Cited by 122

Alignathon: a competitive assessment of whole-genome alignment methods

Earl, D., Nguyen, N., Hickey, G., Harris, R. S., Fitzgerald, S., Beal, K., Seledtsov, I., Molodtsov, V., Raney, B. J., Clawson, H., et al. (2014) · Genome Research

Genomics and Phylogenetic StudiesGenome Rearrangement Algorithms

Cited by 113

Cactus Graphs for Genome Comparisons

Paten, B., Diekhans, M., Earl, D., John, J. S., Ma, J., Suh, B., & Haussler, D. (2011) · Journal of Computational Biology

Genome Rearrangement AlgorithmsGenomics and Phylogenetic Studies

Cited by 102

Best practices for interpretable machine learning in computational biology

Chen, V., Yang, M., Cui, W., Kim, J. S., Talwalkar, A., & Ma, J. (2022) · bioRxiv (Cold Spring Harbor Laboratory)

Explainable Artificial Intelligence (XAI)Scientific Computing and Data Management

Cited by 14