<commit_before>============
Publications
============

A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease. <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, Washington NL, McMurry JA, Haendel MA, Mungall CJ, <NAME>, <NAME>, <NAME>, Robinson PN.
The American Journal of Human Genetics 2016;99;3;595-606
PMID:27569544 DOI:10.1016/j.ajhg.2016.07.005

Phenotype-driven strategies for exome prioritization of human Mendelian disease genes. <NAME>, Robinson PN.
Genome Medicine 2015, 7(1):81
PMID:26229552 DOI:10.1186/s13073-015-0199-2

Next-generation diagnostics and disease-gene discovery with the Exomiser. <NAME>, <NAME>, <NAME>, <NAME>, <NAME> et al.
Nature protocols 2015;10;12;2004-15
PMID:26562621 DOI:10.1038/nprot.2015.124

Computational evaluation of exome sequence data using human and model organism phenotypes improves diagnostic efficiency. Bone WP, Washington NL, Buske OJ, Adams DR, Davis J et al.
Genetics in medicine : official journal of the American College of Medical Genetics 2015
PMID:26562225 DOI:10.1038/gim.2015.137

Walking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases. <NAME>, <NAME>, <NAME>, <NAME>, <NAME> et al.
Bioinformatics (Oxford, England) 2014;30;22;3215-22
PMID:25078397 DOI:10.1093/bioinformatics/btu508

Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome. Zemojtel T, <NAME>, <NAME>, <NAME>, Hecht J et al.
Science translational medicine 2014;6;252;252ra123
PMID:25186178 DOI:10.1126/scitranslmed.3009262

Improved exome prioritization of disease genes through cross-species phenotype comparison. <NAME>, <NAME>, <NAME>, Sanger Mouse Genetics Project, <NAME> et al.
Genome research 2014;24;2;340-8
PMID:24162188 DOI:10.1101/gr.160325.113

Publications for other projects and resources in which the Exomiser is used as a component:

Defining Disease, Diagnosis, and Translational Medicine within a Homeostatic Perturbation Paradigm: The National Institutes of Health Undiagnosed Diseases Program Experience. <NAME>, Valkanas E, BelloC, <NAME>, <NAME>, Bone WP, <NAME>, Brazill JM, Carmichael L, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, Kane MS, Lee E, Li C, Links AE, Maduro V, Malicdan MCV, Malik FS, Nehrebecky M, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, W<NAME>, Xu K, Zhu Y, Gahl WA, Tifft CJ, <NAME>, Adams DR, <NAME>, <NAME>, <NAME>, Zhai RG, Boerkoel CF.
Front Med (Lausanne). 2017;4 62
PMID: 28603714 DOI: 10.3389/fmed.2017.00062

PhenomeCentral: A Portal for Phenotypic and Genotypic Matchmaking of Patients with Rare Genetic Diseases. <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>.
Human Mutation 2015, 36(10):931-940
PMID: 26251998 DOI: 10.1002/humu.22851

Phenopolis: an open platform for harmonization and analysis of genetic and phenotypic data. <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, UKIRDC, <NAME>.
Bioinformatics 2017,33(15):2421-2423
PMID: 28334266 DOI:10.1093/bioinformatics/btx147
<commit_msg>Prettify publications.rst<commit_after>============
Publications
============

| **A Whole-Genome Analysis Framework for Effective Identification of Pathogenic Regulatory Variants in Mendelian Disease.**
| <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, Washington NL, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, Robinson PN.
| *The American Journal of Human Genetics 2016;99;3;595-606*
| PMID:27569544 DOI:`10.1016/j.ajhg.2016.07.005 <http://www.dx.doi.org/10.1016/j.ajhg.2016.07.005>`_

| **Phenotype-driven strategies for exome prioritization of human Mendelian disease genes.**
| <NAME>, Robinson PN.
| *Genome Medicine 2015, 7(1):81*
| PMID:26229552 DOI:`10.1186/s13073-015-0199-2 <http://www.dx.doi.org/10.1186/s13073-015-0199-2>`_

| **Next-generation diagnostics and disease-gene discovery with the Exomiser.**
| <NAME>, <NAME>, <NAME>, <NAME>, <NAME> et al.
| *Nature protocols 2015;10;12;2004-15*
| PMID:26562621 DOI:`10.1038/nprot.2015.124 <http://www.dx.doi.org/10.1038/nprot.2015.124>`_

| **Computational evaluation of exome sequence data using human and model organism phenotypes improves diagnostic efficiency.**
| Bone WP, Washington NL, Buske OJ, <NAME>, <NAME> et al.
| *Genetics in medicine : official journal of the American College of Medical Genetics 2015*
| PMID:26562225 DOI:`10.1038/gim.2015.137 <http://www.dx.doi.org/10.1038/gim.2015.137>`_

| **Walking the interactome for candidate prioritization in exome sequencing studies of Mendelian diseases.**
| <NAME>, <NAME>, <NAME>, <NAME>, <NAME> et al.
| *Bioinformatics (Oxford, England) 2014;30;22;3215-22*
| PMID:25078397 DOI:`10.1093/bioinformatics/btu508 <http://www.dx.doi.org/10.1093/bioinformatics/btu508>`_

| **Effective diagnosis of genetic disease by computational phenotype analysis of the disease-associated genome.**
| <NAME>, <NAME>, <NAME>, <NAME>, <NAME> et al.
| *Science translational medicine 2014;6;252;252ra123*
| PMID:25186178 DOI:`10.1126/scitranslmed.3009262 <http://www.dx.doi.org/10.1126/scitranslmed.3009262>`_

| **Improved exome prioritization of disease genes through cross-species phenotype comparison.**
| <NAME>, <NAME>, <NAME>, Sanger Mouse Genetics Project, Wang K et al.
| *Genome research 2014;24;2;340-8*
| PMID:24162188 DOI:`10.1101/gr.160325.113 <http://www.dx.doi.org/10.1101/gr.160325.113>`_

Collaborations
==============

Publications for other projects and resources in which the Exomiser is used as a component:

| **Defining Disease, Diagnosis, and Translational Medicine within a Homeostatic Perturbation Paradigm: The National Institutes of Health Undiagnosed Diseases Program Experience.**
| <NAME>, <NAME>, BelloC, <NAME>, <NAME>, <NAME>, <NAME>, Brazill JM, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, Fischer R, <NAME>, <NAME>, Huang Y, Kane MS, Lee E, Li C, Links AE, Maduro V, Malicdan MCV, Malik FS, Nehrebecky M, Park J, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, Washington N, Wolfe LA, Xu K, Zhu Y, Gahl WA, Tifft CJ, Toro C, Adams DR, He M, Robinson PN, Haendel MA, Zhai RG, Boerkoel CF.
| *Front Med (Lausanne). 2017;4 62*
| PMID: 28603714 DOI:`10.3389/fmed.2017.00062 <http://www.dx.doi.org/10.3389/fmed.2017.00062>`_

| **PhenomeCentral: A Portal for Phenotypic and Genotypic Matchmaking of Patients with Rare Genetic Diseases.**
| <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>.
| *Human Mutation 2015, 36(10):931-940*
| PMID: 26251998 DOI:`10.1002/humu.22851 <http://www.dx.doi.org/10.1002/humu.22851>`_

| **Phenopolis: an open platform for harmonization and analysis of genetic and phenotypic data.**
| <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, <NAME>, Graeme <NAME>, <NAME>, <NAME>, UKIRDC, <NAME>.
| *Bioinformatics 2017,33(15):2421-2423*
| PMID: 28334266 DOI:`10.1093/bioinformatics/btx147 <http://www.dx.doi.org/10.1093/bioinformatics/btx147>`_

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