SIFT missense predictions for genomes

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs

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A method and server for predicting damaging missense mutations.

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The Human Genome Browser at UCSC

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SIFT: predicting amino acid changes that affect protein function

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Predicting the effects of coding non-synonymous variants on protein function using the SIFT algorithm

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Phytozome: a comparative platform for green plant genomics

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NCBI reference sequences (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins

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NCBI Reference Sequence (RefSeq): a curated non-redundant sequence database of genomes, transcripts and proteins

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Predicting Deleterious Amino Acid SubstitutionsPreprint

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SIFT web server: predicting effects of amino acid substitutions on proteins

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Evolution of genes and genomes on the Drosophila phylogeny

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A map of rice genome variation reveals the origin of cultivated rice

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Evolution and functional impact of rare coding variation from deep sequencing of human exomes

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UniRef: comprehensive and non-redundant UniProt reference clusters

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Evolution of Darwin’s finches and their beaks revealed by genome sequencing

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Genome-wide survey of SNP variation uncovers the genetic structure of cattle breeds

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Accounting for Human Polymorphisms Predicted to Affect Protein FunctionPreprint

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Longest Increasing and Decreasing Subsequences

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Longest Increasing and Decreasing Subsequences

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The 3,000 rice genomes project

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Complete Resequencing of 40 Genomes Reveals Domestication Events and Genes in Silkworm ( Bombyx )

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TILLING. Traditional Mutagenesis Meets Functional Genomics

Henikoff, S., Till, B. J., & Comai, L. (2004) · PLANT PHYSIOLOGY · doi:10.1104/pp.104.041061 · Cited by 360 · see citing works

Systematic mutation of bacteriophage T4 lysozyme

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Variability of candidate genes, genetic structure and association with sugar accumulation and climacteric behavior in a broad germplasm collection of melon (Cucumis melo L.)

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The Accumulation of Deleterious Mutations as a Consequence of Domestication and Improvement in Sunflowers and Other Compositae Crops

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LGI2 Truncation Causes a Remitting Focal Epilepsy in Dogs

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Sequencing Multiple and Diverse Rice Varieties. Connecting Whole-Genome Variation with Phenotypes

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The genome sequence of the spontaneously hypertensive rat: Analysis and functional significancePreprint

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Whole-genome resequencing analyses of five pig breeds, including Korean wild and native, and three European origin breeds

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Lac repressor genetic map in real space

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CSF1R mutations identified in three families with autosomal dominantly inherited leukoencephalopathy

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Variant discovery in a QTL region on chromosome 3 associated with fatness in chickens

Moreira, G. C. M., Godoy, T. F., Boschiero, C., Gheyas, A., Gasparin, G. R., Andrade, S. C. S., Paduan, M., Montenegro, H., Burt, D. W., Ledur, M. C., et al. (2015) · Animal Genetics · doi:10.1111/age.12263 · Cited by 31 · see citing works

SW#db: GPU-Accelerated Exact Sequence Similarity Database Search

Korpar, M., Šošić, M., Blažeka, D., et al. (2015) · PLoS ONE · doi:10.1371/journal.pone.0145857 · Cited by 13 · see citing works

Wx gene in diploid wheat: molecular characterization of five novel alleles from einkorn (Triticum monococcum L. ssp. monococcum) and T. urartu

Ortega, R., Guzmán, C., & Álvarez, J. B. (2014) · Molecular Breeding · doi:10.1007/s11032-014-0105-4 · Cited by 12 · see citing works

SW#db: GPU-accelerated exact sequence similarity database searchPreprint

Korpar, M., Šošić, M., Blažeka, D., et al. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/013805 · Cited by 4 · see citing works

Disease variant prediction with deep generative models of evolutionary data

Frazer, J., Notin, P., Dias, M., Gomez, A., Min, J. K., Brock, K., Gal, Y., & Marks, D. S. (2021) · Nature · doi:10.1038/s41586-021-04043-8 · Cited by 791 · see citing works

The functional landscape of the human phosphoproteome

Ochoa, D., Jarnuczak, A. F., Viéitez, C., Gehre, M., Soucheray, M., Mateus, A., Kleefeldt, A. A., Hill, A., Garcia-Alonso, L., Stein, F., et al. (2020) · Nature Biotechnology · doi:10.1038/s41587-019-0344-3 · Cited by 491 · see citing works

Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives

Xu, J., Yang, P., Xue, S., Sharma, B., Sanchez-Martin, M., Wang, F., Beaty, K. A., Dehan, E., & Parikh, B. (2019) · Human Genetics · doi:10.1007/s00439-019-01970-5 · Cited by 305 · see citing works

The origins and genetic interactions of KRAS mutations are allele- and tissue-specific

Cook, J. H., Melloni, G. E. M., Gulhan, D. C., Park, P. J., & Haigis, K. M. (2021) · Nature Communications · doi:10.1038/s41467-021-22125-z · Cited by 208 · see citing works

Quantitative volumetric Raman imaging of three dimensional cell cultures

Kallepitis, C., Bergholt, M. S., Mazo, M. M., Leonardo, V., Skaalure, S. C., Maynard, S. A., & Stevens, M. M. (2017) · Nature Communications · doi:10.1038/ncomms14843 · Cited by 164 · see citing works

Genes and pathways implicated in tetralogy of Fallot revealed by ultra-rare variant burden analysis in 231 genome sequences

Manshaei, R., Merico, D., Reuter, M. S., Engchuan, W., Mojarad, B. A., Chaturvedi, R., Heung, T., Pellecchia, G., Zarrei, M., Nalpathamkalam, T., et al. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.00957 · Cited by 36 · see citing works

Contribution of <i>APOE</i> Genetic Variants to Dyslipidemia

Bea, A. M., Larrea-Sebal, A., Marco-Benedi, V., Uribe, K. B., Galicia-Garcia, U., Lamiquiz-Moneo, I., Laclaustra, M., Moreno-Franco, B., Fernandez-Corredoira, P., Olmos, S., et al. (2023) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atvbaha.123.318977 · Cited by 40 · see citing works

KNa1.1 gain-of-function preferentially dampens excitability of murine parvalbumin-positive interneurons

Gertler, T. S., Cherian, S., DeKeyser, J.-M., Kearney, J. A., & George, A. L. (2022) · Neurobiology of Disease · doi:10.1016/j.nbd.2022.105713 · Cited by 36 · see citing works

VIPdb, a genetic variant impact predictor database

Hu, Z., Yu, C., Furutsuki, M., Andreoletti, G., Ly, M., Hoskins, R., Adhikari, A. N., & Brenner, S. E. (2019) · Human Mutation · doi:10.1002/humu.23858 · Cited by 37 · see citing works

High-throughput deep learning variant effect prediction with Sequence UNET

Dunham, A. S., Beltrao, P., & AlQuraishi, M. (2023) · Genome Biology · doi:10.1186/s13059-023-02948-3 · Cited by 31 · see citing works

Susquehanna Chorale Spring Concert "Roots and Wings"

Hawkins, D. (2017)

Performance Improvement of SIFT-based Copy-move Forgery Detection Using CSLBP Descriptor

Kang, T. A., Park, J. Y., & Eom, I. K. (2020) · Journal of the Institute of Electronics and Information Engineers · doi:10.5573/ieie.2020.57.5.65

Implementation of Image Matching Algorithm Based on SIFT Features

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Improvements of Local Descriptor in HOG/SIFT by BOF Approach

Yang, Z., & Kurita, T. (2014) · IEICE Transactions on Information and Systems · doi:10.1587/transinf.e97.d.1293 · Cited by 5 · see citing works

Survey of Feature Points Detection and Matching using SURF, SIFT and PCA-SIFT

Shah, U., Mistry, D., & Patel, Y. (2014) · Journal of Emerging Technologies and Innovative Research · Cited by 8 · see citing works