A citation-based method for searching scientific literature

Daniel Quang, Yifei Chen, Xiaohui Xie. Bioinformatics 2015
Times Cited: 488







List of co-cited articles
521 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.
Sue Richards, Nazneen Aziz, Sherri Bale, David Bick, Soma Das, Julie Gastier-Foster, Wayne W Grody, Madhuri Hegde, Elaine Lyon, Elaine Spector,[...]. Genet Med 2015
39

A method and server for predicting damaging missense mutations.
Ivan A Adzhubei, Steffen Schmidt, Leonid Peshkin, Vasily E Ramensky, Anna Gerasimova, Peer Bork, Alexey S Kondrashov, Shamil R Sunyaev. Nat Methods 2010
35

A general framework for estimating the relative pathogenicity of human genetic variants.
Martin Kircher, Daniela M Witten, Preti Jain, Brian J O'Roak, Gregory M Cooper, Jay Shendure. Nat Genet 2014
33

A spectral approach integrating functional genomic annotations for coding and noncoding variants.
Iuliana Ionita-Laza, Kenneth McCallum, Bin Xu, Joseph D Buxbaum. Nat Genet 2016
300
31

CADD: predicting the deleteriousness of variants throughout the human genome.
Philipp Rentzsch, Daniela Witten, Gregory M Cooper, Jay Shendure, Martin Kircher. Nucleic Acids Res 2019
30

The mutational constraint spectrum quantified from variation in 141,456 humans.
Konrad J Karczewski, Laurent C Francioli, Grace Tiao, Beryl B Cummings, Jessica Alföldi, Qingbo Wang, Ryan L Collins, Kristen M Laricchia, Andrea Ganna, Daniel P Birnbaum,[...]. Nature 2020
28

REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.
Nilah M Ioannidis, Joseph H Rothstein, Vikas Pejaver, Sumit Middha, Shannon K McDonnell, Saurabh Baheti, Anthony Musolf, Qing Li, Emily Holzinger, Danielle Karyadi,[...]. Am J Hum Genet 2016
784
27

M-CAP eliminates a majority of variants of uncertain significance in clinical exomes at high sensitivity.
Karthik A Jagadeesh, Aaron M Wenger, Mark J Berger, Harendra Guturu, Peter D Stenson, David N Cooper, Jonathan A Bernstein, Gill Bejerano. Nat Genet 2016
429
25

MutationTaster2: mutation prediction for the deep-sequencing age.
Jana Marie Schwarz, David N Cooper, Markus Schuelke, Dominik Seelow. Nat Methods 2014
25

ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.
Kai Wang, Mingyao Li, Hakon Hakonarson. Nucleic Acids Res 2010
24

Predicting the functional, molecular, and phenotypic consequences of amino acid substitutions using hidden Markov models.
Hashem A Shihab, Julian Gough, David N Cooper, Peter D Stenson, Gary L A Barker, Keith J Edwards, Ian N M Day, Tom R Gaunt. Hum Mutat 2013
716
24

An integrative approach to predicting the functional effects of non-coding and coding sequence variation.
Hashem A Shihab, Mark F Rogers, Julian Gough, Matthew Mort, David N Cooper, Ian N M Day, Tom R Gaunt, Colin Campbell. Bioinformatics 2015
334
24

Identifying a high fraction of the human genome to be under selective constraint using GERP++.
Eugene V Davydov, David L Goode, Marina Sirota, Gregory M Cooper, Arend Sidow, Serafim Batzoglou. PLoS Comput Biol 2010
990
23

Analysis of protein-coding genetic variation in 60,706 humans.
Monkol Lek, Konrad J Karczewski, Eric V Minikel, Kaitlin E Samocha, Eric Banks, Timothy Fennell, Anne H O'Donnell-Luria, James S Ware, Andrew J Hill, Beryl B Cummings,[...]. Nature 2016
22

SIFT: Predicting amino acid changes that affect protein function.
Pauline C Ng, Steven Henikoff. Nucleic Acids Res 2003
21

Predicting the functional impact of protein mutations: application to cancer genomics.
Boris Reva, Yevgeniy Antipin, Chris Sander. Nucleic Acids Res 2011
21

ClinVar: improving access to variant interpretations and supporting evidence.
Melissa J Landrum, Jennifer M Lee, Mark Benson, Garth R Brown, Chen Chao, Shanmuga Chitipiralla, Baoshan Gu, Jennifer Hart, Douglas Hoffman, Wonhee Jang,[...]. Nucleic Acids Res 2018
19

Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies.
Chengliang Dong, Peng Wei, Xueqiu Jian, Richard Gibbs, Eric Boerwinkle, Kai Wang, Xiaoming Liu. Hum Mol Genet 2015
609
19

Identifying Mendelian disease genes with the variant effect scoring tool.
Hannah Carter, Christopher Douville, Peter D Stenson, David N Cooper, Rachel Karchin. BMC Genomics 2013
248
19

Detection of nonneutral substitution rates on mammalian phylogenies.
Katherine S Pollard, Melissa J Hubisz, Kate R Rosenbloom, Adam Siepel. Genome Res 2010
18

Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes.
Adam Siepel, Gill Bejerano, Jakob S Pedersen, Angie S Hinrichs, Minmei Hou, Kate Rosenbloom, Hiram Clawson, John Spieth, Ladeana W Hillier, Stephen Richards,[...]. Genome Res 2005
18

The Ensembl Variant Effect Predictor.
William McLaren, Laurent Gil, Sarah E Hunt, Harpreet Singh Riat, Graham R S Ritchie, Anja Thormann, Paul Flicek, Fiona Cunningham. Genome Biol 2016
17

FATHMM-XF: accurate prediction of pathogenic point mutations via extended features.
Mark F Rogers, Hashem A Shihab, Matthew Mort, David N Cooper, Tom R Gaunt, Colin Campbell. Bioinformatics 2018
158
17

Predicting the clinical impact of human mutation with deep neural networks.
Laksshman Sundaram, Hong Gao, Samskruthi Reddy Padigepati, Jeremy F McRae, Yanjun Li, Jack A Kosmicki, Nondas Fritzilas, Jörg Hakenberg, Anindita Dutta, John Shon,[...]. Nat Genet 2018
139
16

Predicting the functional effect of amino acid substitutions and indels.
Yongwook Choi, Gregory E Sims, Sean Murphy, Jason R Miller, Agnes P Chan. PLoS One 2012
16


SIFT web server: predicting effects of amino acid substitutions on proteins.
Ngak-Leng Sim, Prateek Kumar, Jing Hu, Steven Henikoff, Georg Schneider, Pauline C Ng. Nucleic Acids Res 2012
15


A global reference for human genetic variation.
Adam Auton, Lisa D Brooks, Richard M Durbin, Erik P Garrison, Hyun Min Kang, Jan O Korbel, Jonathan L Marchini, Shane McCarthy, Gil A McVean, Gonçalo R Abecasis. Nature 2015
14

MutationTaster evaluates disease-causing potential of sequence alterations.
Jana Marie Schwarz, Christian Rödelsperger, Markus Schuelke, Dominik Seelow. Nat Methods 2010
14


A statistical framework to predict functional non-coding regions in the human genome through integrated analysis of annotation data.
Qiongshi Lu, Yiming Hu, Jiehuan Sun, Yuwei Cheng, Kei-Hoi Cheung, Hongyu Zhao. Sci Rep 2015
96
14


ClinPred: Prediction Tool to Identify Disease-Relevant Nonsynonymous Single-Nucleotide Variants.
Najmeh Alirezaie, Kristin D Kernohan, Taila Hartley, Jacek Majewski, Toby Dylan Hocking. Am J Hum Genet 2018
73
17

SIFT missense predictions for genomes.
Robert Vaser, Swarnaseetha Adusumalli, Sim Ngak Leng, Mile Sikic, Pauline C Ng. Nat Protoc 2016
612
13

Identifying novel constrained elements by exploiting biased substitution patterns.
Manuel Garber, Mitchell Guttman, Michele Clamp, Michael C Zody, Nir Friedman, Xiaohui Xie. Bioinformatics 2009
225
13



Functional annotation of noncoding sequence variants.
Graham R S Ritchie, Ian Dunham, Eleftheria Zeggini, Paul Flicek. Nat Methods 2014
339
11

COSMIC: the Catalogue Of Somatic Mutations In Cancer.
John G Tate, Sally Bamford, Harry C Jubb, Zbyslaw Sondka, David M Beare, Nidhi Bindal, Harry Boutselakis, Charlotte G Cole, Celestino Creatore, Elisabeth Dawson,[...]. Nucleic Acids Res 2019
11


A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3.
Pablo Cingolani, Adrian Platts, Le Lily Wang, Melissa Coon, Tung Nguyen, Luan Wang, Susan J Land, Xiangyi Lu, Douglas M Ruden. Fly (Austin) 2012
10


FunSeq2: a framework for prioritizing noncoding regulatory variants in cancer.
Yao Fu, Zhu Liu, Shaoke Lou, Jason Bedford, Xinmeng Jasmine Mu, Kevin Y Yip, Ekta Khurana, Mark Gerstein. Genome Biol 2014
193
10

DEOGEN2: prediction and interactive visualization of single amino acid variant deleteriousness in human proteins.
Daniele Raimondi, Ibrahim Tanyalcin, Julien Ferté, Andrea Gazzo, Gabriele Orlando, Tom Lenaerts, Marianne Rooman, Wim Vranken. Nucleic Acids Res 2017
54
18

MVP predicts the pathogenicity of missense variants by deep learning.
Hongjian Qi, Haicang Zhang, Yige Zhao, Chen Chen, John J Long, Wendy K Chung, Yongtao Guan, Yufeng Shen. Nat Commun 2021
32
31

Inferring the molecular and phenotypic impact of amino acid variants with MutPred2.
Vikas Pejaver, Jorge Urresti, Jose Lugo-Martinez, Kymberleigh A Pagel, Guan Ning Lin, Hyun-Jun Nam, Matthew Mort, David N Cooper, Jonathan Sebat, Lilia M Iakoucheva,[...]. Nat Commun 2020
112
10



Predicting the functional consequences of cancer-associated amino acid substitutions.
Hashem A Shihab, Julian Gough, David N Cooper, Ian N M Day, Tom R Gaunt. Bioinformatics 2013
150
9


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.