A citation-based method for searching scientific literature

Jana Marie Schwarz, Christian Rödelsperger, Markus Schuelke, Dominik Seelow. Nat Methods 2010
Times Cited: 2009







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



Times Cited
  Times     Co-cited
Similarity


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
64

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
47


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
32

SIFT: Predicting amino acid changes that affect protein function.
Pauline C Ng, Steven Henikoff. Nucleic Acids Res 2003
29

ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data.
Kai Wang, Mingyao Li, Hakon Hakonarson. Nucleic Acids Res 2010
25

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
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
21

Predicting functional effect of human missense mutations using PolyPhen-2.
Ivan Adzhubei, Daniel M Jordan, Shamil R Sunyaev. Curr Protoc Hum Genet 2013
21


Predicting the functional impact of protein mutations: application to cancer genomics.
Boris Reva, Yevgeniy Antipin, Chris Sander. Nucleic Acids Res 2011
19

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
17

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
667
16

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


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
13

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
13

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
960
12

The Sequence Alignment/Map format and SAMtools.
Heng Li, Bob Handsaker, Alec Wysoker, Tim Fennell, Jue Ruan, Nils Homer, Gabor Marth, Goncalo Abecasis, Richard Durbin. Bioinformatics 2009
12


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
12

The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.
Aaron McKenna, Matthew Hanna, Eric Banks, Andrey Sivachenko, Kristian Cibulskis, Andrew Kernytsky, Kiran Garimella, David Altshuler, Stacey Gabriel, Mark Daly,[...]. Genome Res 2010
10

Detection of nonneutral substitution rates on mammalian phylogenies.
Katherine S Pollard, Melissa J Hubisz, Kate R Rosenbloom, Adam Siepel. Genome Res 2010
10

SIFT missense predictions for genomes.
Robert Vaser, Swarnaseetha Adusumalli, Sim Ngak Leng, Mile Sikic, Pauline C Ng. Nat Protoc 2016
546
9

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
682
9

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
569
9

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
403
9

Human Splicing Finder: an online bioinformatics tool to predict splicing signals.
François-Olivier Desmet, Dalil Hamroun, Marine Lalande, Gwenaëlle Collod-Béroud, Mireille Claustres, Christophe Béroud. Nucleic Acids Res 2009
8

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
312
8

I-Mutant2.0: predicting stability changes upon mutation from the protein sequence or structure.
Emidio Capriotti, Piero Fariselli, Rita Casadio. Nucleic Acids Res 2005
907
7

Predicting deleterious amino acid substitutions.
P C Ng, S Henikoff. Genome Res 2001
7


The ExAC browser: displaying reference data information from over 60 000 exomes.
Konrad J Karczewski, Ben Weisburd, Brett Thomas, Matthew Solomonson, Douglas M Ruderfer, David Kavanagh, Tymor Hamamsy, Monkol Lek, Kaitlin E Samocha, Beryl B Cummings,[...]. Nucleic Acids Res 2017
329
6

DANN: a deep learning approach for annotating the pathogenicity of genetic variants.
Daniel Quang, Yifei Chen, Xiaohui Xie. Bioinformatics 2015
455
6


Comprehensive statistical study of 452 BRCA1 missense substitutions with classification of eight recurrent substitutions as neutral.
S V Tavtigian, A M Deffenbaugh, L Yin, T Judkins, T Scholl, P B Samollow, D de Silva, A Zharkikh, A Thomas. J Med Genet 2006
496
6

The I-TASSER Suite: protein structure and function prediction.
Jianyi Yang, Renxiang Yan, Ambrish Roy, Dong Xu, Jonathan Poisson, Yang Zhang. Nat Methods 2015
5

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
5

Human Gene Mutation Database (HGMD): 2003 update.
Peter D Stenson, Edward V Ball, Matthew Mort, Andrew D Phillips, Jacqueline A Shiel, Nick S T Thomas, Shaun Abeysinghe, Michael Krawczak, David N Cooper. Hum Mutat 2003
5

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
5

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
5

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
19
26

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
278
5

Identifying novel constrained elements by exploiting biased substitution patterns.
Manuel Garber, Mitchell Guttman, Michele Clamp, Michael C Zody, Nir Friedman, Xiaohui Xie. Bioinformatics 2009
215
5

MutationTaster2: mutation prediction for the deep-sequencing age.
Jana Marie Schwarz, David N Cooper, Markus Schuelke, Dominik Seelow. Nat Methods 2014
5

PLINK: a tool set for whole-genome association and population-based linkage analyses.
Shaun Purcell, Benjamin Neale, Kathe Todd-Brown, Lori Thomas, Manuel A R Ferreira, David Bender, Julian Maller, Pamela Sklar, Paul I W de Bakker, Mark J Daly,[...]. Am J Hum Genet 2007
4

A map of human genome variation from population-scale sequencing.
Gonçalo R Abecasis, David Altshuler, Adam Auton, Lisa D Brooks, Richard M Durbin, Richard A Gibbs, Matt E Hurles, Gil A McVean. Nature 2010
4


Strong clustering and stereotyped nature of Notch3 mutations in CADASIL patients.
A Joutel, K Vahedi, C Corpechot, A Troesch, H Chabriat, C Vayssière, C Cruaud, J Maciazek, J Weissenbach, M G Bousser,[...]. Lancet 1997
487
4

Long-term prognosis and causes of death in CADASIL: a retrospective study in 411 patients.
Christian Opherk, Nils Peters, Jürgen Herzog, Rainer Luedtke, Martin Dichgans. Brain 2004
181
4


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.