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Items: 1 to 50 of 63

1.

Dynamic proteome profiling of human pluripotent stem cell-derived pancreatic progenitors.

Loo LSW, Vethe H, Soetedjo AAP, Paulo JA, Jasmen J, Jackson N, Bjørlykke Y, Valdez IA, Vaudel M, Barsnes H, Gygi SP, Raeder H, Teo AKK, Kulkarni RN.

Stem Cells. 2019 Dec 11. doi: 10.1002/stem.3135. [Epub ahead of print]

PMID:
31828876
2.

Reprogrammed Cells Display Distinct Proteomic Signatures Associated with Colony Morphology Variability.

Bjørlykke Y, Søviknes AM, Hoareau L, Vethe H, Mathisen AF, Chera S, Vaudel M, Ghila LM, Ræder H.

Stem Cells Int. 2019 Nov 18;2019:8036035. doi: 10.1155/2019/8036035. eCollection 2019.

3.

Genome-wide association study reveals dynamic role of genetic variation in infant and early childhood growth.

Helgeland Ø, Vaudel M, Juliusson PB, Lingaas Holmen O, Juodakis J, Bacelis J, Jacobsson B, Lindekleiv H, Hveem K, Lie RT, Knudsen GP, Stoltenberg C, Magnus P, Sagen JV, Molven A, Johansson S, Njølstad PR.

Nat Commun. 2019 Oct 1;10(1):4448. doi: 10.1038/s41467-019-12308-0.

4.

A trans-ancestral meta-analysis of genome-wide association studies reveals loci associated with childhood obesity.

Bradfield JP, Vogelezang S, Felix JF, Chesi A, Helgeland Ø, Horikoshi M, Karhunen V, Lowry E, Cousminer DL, Ahluwalia TS, Thiering E, Boh ET, Zafarmand MH, Vilor-Tejedor N, Wang CA, Joro R, Chen Z, Gauderman WJ, Pitkänen N, Parra EJ, Fernandez-Rhodes L, Alyass A, Monnereau C, Curtin JA, Have CT, McCormack SE, Hollensted M, Frithioff-Bøjsøe C, Valladares-Salgado A, Peralta-Romero J, Teo YY, Standl M, Leinonen JT, Holm JC, Peters T, Vioque J, Vrijheid M, Simpson A, Custovic A, Vaudel M, Canouil M, Lindi V, Atalay M, Kähönen M, Raitakari OT, van Schaik BDC, Berkowitz RI, Cole SA, Voruganti VS, Wang Y, Highland HM, Comuzzie AG, Butte NF, Justice AE, Gahagan S, Blanco E, Lehtimäki T, Lakka TA, Hebebrand J, Bonnefond A, Grarup N, Froguel P, Lyytikäinen LP, Cruz M, Kobes S, Hanson RL, Zemel BS, Hinney A, Teo KK, Meyre D, North KE, Gilliland FD, Bisgaard H, Bustamante M, Bonnelykke K, Pennell CE, Rivadeneira F, Uitterlinden AG, Baier LJ, Vrijkotte TGM, Heinrich J, Sørensen TIA, Saw SM, Pedersen O, Hansen T, Eriksson J, Widén E, McCarthy MI, Njølstad PR, Power C, Hyppönen E, Sebert S, Brown CD, Järvelin MR, Timpson NJ, Johansson S, Hakonarson H, Jaddoe VWV; Early Growth Genetics Consortium, Grant SFA.

Hum Mol Genet. 2019 Oct 1;28(19):3327-3338. doi: 10.1093/hmg/ddz161.

PMID:
31504550
5.

Introducing M-GCTA a Software Package to Estimate Maternal (or Paternal) Genetic Effects on Offspring Phenotypes.

Qiao Z, Zheng J, Helgeland Ø, Vaudel M, Johansson S, Njølstad PR, Smith GD, Warrington NM, Evans DM.

Behav Genet. 2020 Jan;50(1):51-66. doi: 10.1007/s10519-019-09969-4. Epub 2019 Sep 6.

PMID:
31493278
6.

PathwayMatcher: proteoform-centric network construction enables fine-granularity multiomics pathway mapping.

Sánchez LFH, Burger B, Horro C, Fabregat A, Johansson S, Njølstad PR, Barsnes H, Hermjakob H, Vaudel M.

Gigascience. 2019 Aug 1;8(8). pii: giz088. doi: 10.1093/gigascience/giz088.

7.

Software engineering for scientific big data analysis.

Grüning BA, Lampa S, Vaudel M, Blankenberg D.

Gigascience. 2019 May 1;8(5). pii: giz054. doi: 10.1093/gigascience/giz054.

8.

Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors.

Warrington NM, Beaumont RN, Horikoshi M, Day FR, Helgeland Ø, Laurin C, Bacelis J, Peng S, Hao K, Feenstra B, Wood AR, Mahajan A, Tyrrell J, Robertson NR, Rayner NW, Qiao Z, Moen GH, Vaudel M, Marsit CJ, Chen J, Nodzenski M, Schnurr TM, Zafarmand MH, Bradfield JP, Grarup N, Kooijman MN, Li-Gao R, Geller F, Ahluwalia TS, Paternoster L, Rueedi R, Huikari V, Hottenga JJ, Lyytikäinen LP, Cavadino A, Metrustry S, Cousminer DL, Wu Y, Thiering E, Wang CA, Have CT, Vilor-Tejedor N, Joshi PK, Painter JN, Ntalla I, Myhre R, Pitkänen N, van Leeuwen EM, Joro R, Lagou V, Richmond RC, Espinosa A, Barton SJ, Inskip HM, Holloway JW, Santa-Marina L, Estivill X, Ang W, Marsh JA, Reichetzeder C, Marullo L, Hocher B, Lunetta KL, Murabito JM, Relton CL, Kogevinas M, Chatzi L, Allard C, Bouchard L, Hivert MF, Zhang G, Muglia LJ, Heikkinen J; EGG Consortium, Morgen CS, van Kampen AHC, van Schaik BDC, Mentch FD, Langenberg C, Luan J, Scott RA, Zhao JH, Hemani G, Ring SM, Bennett AJ, Gaulton KJ, Fernandez-Tajes J, van Zuydam NR, Medina-Gomez C, de Haan HG, Rosendaal FR, Kutalik Z, Marques-Vidal P, Das S, Willemsen G, Mbarek H, Müller-Nurasyid M, Standl M, Appel EVR, Fonvig CE, Trier C, van Beijsterveldt CEM, Murcia M, Bustamante M, Bonas-Guarch S, Hougaard DM, Mercader JM, Linneberg A, Schraut KE, Lind PA, Medland SE, Shields BM, Knight BA, Chai JF, Panoutsopoulou K, Bartels M, Sánchez F, Stokholm J, Torrents D, Vinding RK, Willems SM, Atalay M, Chawes BL, Kovacs P, Prokopenko I, Tuke MA, Yaghootkar H, Ruth KS, Jones SE, Loh PR, Murray A, Weedon MN, Tönjes A, Stumvoll M, Michaelsen KF, Eloranta AM, Lakka TA, van Duijn CM, Kiess W, Körner A, Niinikoski H, Pahkala K, Raitakari OT, Jacobsson B, Zeggini E, Dedoussis GV, Teo YY, Saw SM, Montgomery GW, Campbell H, Wilson JF, Vrijkotte TGM, Vrijheid M, de Geus EJCN, Hayes MG, Kadarmideen HN, Holm JC, Beilin LJ, Pennell CE, Heinrich J, Adair LS, Borja JB, Mohlke KL, Eriksson JG, Widén EE, Hattersley AT, Spector TD, Kähönen M, Viikari JS, Lehtimäki T, Boomsma DI, Sebert S, Vollenweider P, Sørensen TIA, Bisgaard H, Bønnelykke K, Murray JC, Melbye M, Nohr EA, Mook-Kanamori DO, Rivadeneira F, Hofman A, Felix JF, Jaddoe VWV, Hansen T, Pisinger C, Vaag AA, Pedersen O, Uitterlinden AG, Järvelin MR, Power C, Hyppönen E, Scholtens DM, Lowe WL Jr, Davey Smith G, Timpson NJ, Morris AP, Wareham NJ, Hakonarson H, Grant SFA, Frayling TM, Lawlor DA, Njølstad PR, Johansson S, Ong KK, McCarthy MI, Perry JRB, Evans DM, Freathy RM.

Nat Genet. 2019 May;51(5):804-814. doi: 10.1038/s41588-019-0403-1. Epub 2019 May 1.

9.

Roadmap for a precision-medicine initiative in the Nordic region.

Njølstad PR, Andreassen OA, Brunak S, Børglum AD, Dillner J, Esko T, Franks PW, Freimer N, Groop L, Heimer H, Hougaard DM, Hovig E, Hveem K, Jalanko A, Kaprio J, Knudsen GP, Melbye M, Metspalu A, Mortensen PB, Palmgren J, Palotie A, Reed W, Stefánsson H, Stitziel NO, Sullivan PF, Thorsteinsdóttir U, Vaudel M, Vuorio E, Werge T, Stoltenberg C, Stefánsson K.

Nat Genet. 2019 Jun;51(6):924-930. doi: 10.1038/s41588-019-0391-1. No abstract available.

PMID:
30988515
10.

Effect of disease-associated SLC9A9 mutations on protein-protein interaction networks: implications for molecular mechanisms for ADHD and autism.

Zhang-James Y, Vaudel M, Mjaavatten O, Berven FS, Haavik J, Faraone SV.

Atten Defic Hyperact Disord. 2019 Mar;11(1):91-105. doi: 10.1007/s12402-018-0281-x. Epub 2019 Mar 29.

PMID:
30927234
11.

Analyzing the Structure of Pathways and Its Influence on the Interpretation of Biomedical Proteomics Data Sets.

Burger B, Hernández Sánchez LF, Lereim RR, Barsnes H, Vaudel M.

J Proteome Res. 2018 Nov 2;17(11):3801-3809. doi: 10.1021/acs.jproteome.8b00464. Epub 2018 Oct 24.

PMID:
30251541
12.

PDV: an integrative proteomics data viewer.

Li K, Vaudel M, Zhang B, Ren Y, Wen B.

Bioinformatics. 2019 Apr 1;35(7):1249-1251. doi: 10.1093/bioinformatics/bty770.

PMID:
30169737
13.

A Potential Golden Age to Come-Current Tools, Recent Use Cases, and Future Avenues for De Novo Sequencing in Proteomics.

Muth T, Hartkopf F, Vaudel M, Renard BY.

Proteomics. 2018 Sep;18(18):e1700150. doi: 10.1002/pmic.201700150. Epub 2018 Aug 22. Review.

PMID:
29968278
14.

Proceedings of the EuBIC developer's meeting 2018.

Willems S, Bouyssié D, Deforce D, Dorfer V, Gorshkov V, Kopczynski D, Laukens K, Locard-Paulet M, Schwämmle V, Uszkoreit J, Valkenborg D, Vaudel M, Bittremieux W.

J Proteomics. 2018 Sep 15;187:25-27. doi: 10.1016/j.jprot.2018.05.015. Epub 2018 Jun 2.

PMID:
29864591
15.

SearchGUI: A Highly Adaptable Common Interface for Proteomics Search and de Novo Engines.

Barsnes H, Vaudel M.

J Proteome Res. 2018 Jul 6;17(7):2552-2555. doi: 10.1021/acs.jproteome.8b00175. Epub 2018 May 25.

PMID:
29774740
16.

A de novo Ser111Thr variant in aquaporin-4 in a patient with intellectual disability, transient signs of brain ischemia, transient cardiac hypertrophy, and progressive gait disturbance.

Berland S, Toft-Bertelsen TL, Aukrust I, Byska J, Vaudel M, Bindoff LA, MacAulay N, Houge G.

Cold Spring Harb Mol Case Stud. 2018 Feb 1;4(1). pii: a002303. doi: 10.1101/mcs.a002303. Print 2018 Feb.

17.

Genome-wide association study of offspring birth weight in 86 577 women identifies five novel loci and highlights maternal genetic effects that are independent of fetal genetics.

Beaumont RN, Warrington NM, Cavadino A, Tyrrell J, Nodzenski M, Horikoshi M, Geller F, Myhre R, Richmond RC, Paternoster L, Bradfield JP, Kreiner-Møller E, Huikari V, Metrustry S, Lunetta KL, Painter JN, Hottenga JJ, Allard C, Barton SJ, Espinosa A, Marsh JA, Potter C, Zhang G, Ang W, Berry DJ, Bouchard L, Das S; Early Growth Genetics (EGG) Consortium, Hakonarson H, Heikkinen J, Helgeland Ø, Hocher B, Hofman A, Inskip HM, Jones SE, Kogevinas M, Lind PA, Marullo L, Medland SE, Murray A, Murray JC, Njølstad PR, Nohr EA, Reichetzeder C, Ring SM, Ruth KS, Santa-Marina L, Scholtens DM, Sebert S, Sengpiel V, Tuke MA, Vaudel M, Weedon MN, Willemsen G, Wood AR, Yaghootkar H, Muglia LJ, Bartels M, Relton CL, Pennell CE, Chatzi L, Estivill X, Holloway JW, Boomsma DI, Montgomery GW, Murabito JM, Spector TD, Power C, Järvelin MR, Bisgaard H, Grant SFA, Sørensen TIA, Jaddoe VW, Jacobsson B, Melbye M, McCarthy MI, Hattersley AT, Hayes MG, Frayling TM, Hivert MF, Felix JF, Hyppönen E, Lowe WL Jr, Evans DM, Lawlor DA, Feenstra B, Freathy RM.

Hum Mol Genet. 2018 Feb 15;27(4):742-756. doi: 10.1093/hmg/ddx429.

18.

An Accessible Proteogenomics Informatics Resource for Cancer Researchers.

Chambers MC, Jagtap PD, Johnson JE, McGowan T, Kumar P, Onsongo G, Guerrero CR, Barsnes H, Vaudel M, Martens L, Grüning B, Cooke IR, Heydarian M, Reddy KL, Griffin TJ.

Cancer Res. 2017 Nov 1;77(21):e43-e46. doi: 10.1158/0008-5472.CAN-17-0331.

19.

Anatomy and evolution of database search engines-a central component of mass spectrometry based proteomic workflows.

Verheggen K, Raeder H, Berven FS, Martens L, Barsnes H, Vaudel M.

Mass Spectrom Rev. 2017 Sep 13. doi: 10.1002/mas.21543. [Epub ahead of print] Review.

PMID:
28902424
20.

Proteogenomics approaches for studying cancer biology and their potential in the identification of acute myeloid leukemia biomarkers.

Hernandez-Valladares M, Vaudel M, Selheim F, Berven F, Bruserud Ø.

Expert Rev Proteomics. 2017 Aug;14(8):649-663. doi: 10.1080/14789450.2017.1352474. Epub 2017 Jul 27. Review.

PMID:
28693350
21.

The mzIdentML Data Standard Version 1.2, Supporting Advances in Proteome Informatics.

Vizcaíno JA, Mayer G, Perkins S, Barsnes H, Vaudel M, Perez-Riverol Y, Ternent T, Uszkoreit J, Eisenacher M, Fischer L, Rappsilber J, Netz E, Walzer M, Kohlbacher O, Leitner A, Chalkley RJ, Ghali F, Martínez-Bartolomé S, Deutsch EW, Jones AR.

Mol Cell Proteomics. 2017 Jul;16(7):1275-1285. doi: 10.1074/mcp.M117.068429. Epub 2017 May 17.

22.

Proceedings of the EuBIC Winter School 2017.

Willems S, Bouyssié D, David M, Locard-Paulet M, Mechtler K, Schwämmle V, Uszkoreit J, Vaudel M, Dorfer V.

J Proteomics. 2017 May 24;161:78-80. doi: 10.1016/j.jprot.2017.04.001. Epub 2017 Apr 4.

PMID:
28385664
23.

BioContainers: an open-source and community-driven framework for software standardization.

da Veiga Leprevost F, Grüning BA, Alves Aflitos S, Röst HL, Uszkoreit J, Barsnes H, Vaudel M, Moreno P, Gatto L, Weber J, Bai M, Jimenez RC, Sachsenberg T, Pfeuffer J, Vera Alvarez R, Griss J, Nesvizhskii AI, Perez-Riverol Y.

Bioinformatics. 2017 Aug 15;33(16):2580-2582. doi: 10.1093/bioinformatics/btx192.

24.

PeptideMapper: efficient and versatile amino acid sequence and tag mapping.

Kopczynski D, Barsnes H, Njølstad PR, Sickmann A, Vaudel M, Ahrends R.

Bioinformatics. 2017 Jul 1;33(13):2042-2044. doi: 10.1093/bioinformatics/btx122.

PMID:
28334306
25.

Computational and Statistical Methods for High-Throughput Mass Spectrometry-Based PTM Analysis.

Schwämmle V, Vaudel M.

Methods Mol Biol. 2017;1558:437-458. doi: 10.1007/978-1-4939-6783-4_21.

PMID:
28150251
26.

Visualization, Inspection and Interpretation of Shotgun Proteomics Identification Results.

Lereim RR, Oveland E, Berven FS, Vaudel M, Barsnes H.

Adv Exp Med Biol. 2016;919:227-235. Review.

PMID:
27975220
27.

Tandem Mass Spectrum Sequencing: An Alternative to Database Search Engines in Shotgun Proteomics.

Muth T, Rapp E, Berven FS, Barsnes H, Vaudel M.

Adv Exp Med Biol. 2016;919:217-226. Review.

PMID:
27975219
28.

Database Search Engines: Paradigms, Challenges and Solutions.

Verheggen K, Martens L, Berven FS, Barsnes H, Vaudel M.

Adv Exp Med Biol. 2016;919:147-156. Review.

PMID:
27975215
29.

In-Depth Cerebrospinal Fluid Quantitative Proteome and Deglycoproteome Analysis: Presenting a Comprehensive Picture of Pathways and Processes Affected by Multiple Sclerosis.

Kroksveen AC, Guldbrandsen A, Vaudel M, Lereim RR, Barsnes H, Myhr KM, Torkildsen Ø, Berven FS.

J Proteome Res. 2017 Jan 6;16(1):179-194. doi: 10.1021/acs.jproteome.6b00659. Epub 2016 Oct 26.

PMID:
27728768
30.

Using Proteomics Bioinformatics Tools and Resources in Proteogenomic Studies.

Vaudel M, Barsnes H, Ræder H, Berven FS.

Adv Exp Med Biol. 2016;926:65-75. Review.

PMID:
27686806
31.

Reliable FASP-based procedures for optimal quantitative proteomic and phosphoproteomic analysis on samples from acute myeloid leukemia patients.

Hernandez-Valladares M, Aasebø E, Mjaavatten O, Vaudel M, Bruserud Ø, Berven F, Selheim F.

Biol Proced Online. 2016 Jun 21;18:13. doi: 10.1186/s12575-016-0043-0. eCollection 2016.

32.

Freezing effects on the acute myeloid leukemia cell proteome and phosphoproteome revealed using optimal quantitative workflows.

Aasebø E, Mjaavatten O, Vaudel M, Farag Y, Selheim F, Berven F, Bruserud Ø, Hernandez-Valladares M.

J Proteomics. 2016 Aug 11;145:214-225. doi: 10.1016/j.jprot.2016.03.049. Epub 2016 Apr 20.

PMID:
27107777
33.

Label-free analysis of human cerebrospinal fluid addressing various normalization strategies and revealing protein groups affected by multiple sclerosis.

Opsahl JA, Vaudel M, Guldbrandsen A, Aasebø E, Van Pesch V, Franciotta D, Myhr KM, Barsnes H, Berle M, Torkildsen Ø, Kroksveen AC, Berven FS.

Proteomics. 2016 Apr;16(7):1154-65. doi: 10.1002/pmic.201500284.

PMID:
26841090
34.

Systemic Analysis of Regulated Functional Networks.

Hernández Sánchez LF, Aasebø E, Selheim F, Berven FS, Ræder H, Barsnes H, Vaudel M.

Methods Mol Biol. 2016;1394:287-310. doi: 10.1007/978-1-4939-3341-9_21.

PMID:
26700057
35.

A Simple Workflow for Large Scale Shotgun Glycoproteomics.

Guldbrandsen A, Barsnes H, Kroksveen AC, Berven FS, Vaudel M.

Methods Mol Biol. 2016;1394:275-286. doi: 10.1007/978-1-4939-3341-9_20.

PMID:
26700056
36.

Interpretation of Quantitative Shotgun Proteomic Data.

Aasebø E, Berven FS, Selheim F, Barsnes H, Vaudel M.

Methods Mol Biol. 2016;1394:261-273. doi: 10.1007/978-1-4939-3341-9_19.

PMID:
26700055
37.

Pladipus Enables Universal Distributed Computing in Proteomics Bioinformatics.

Verheggen K, Maddelein D, Hulstaert N, Martens L, Barsnes H, Vaudel M.

J Proteome Res. 2016 Mar 4;15(3):707-12. doi: 10.1021/acs.jproteome.5b00850. Epub 2015 Nov 6.

PMID:
26510693
38.

Exploring the potential of public proteomics data.

Vaudel M, Verheggen K, Csordas A, Raeder H, Berven FS, Martens L, Vizcaíno JA, Barsnes H.

Proteomics. 2016 Jan;16(2):214-25. doi: 10.1002/pmic.201500295. Epub 2015 Dec 15. Review.

39.

Practical Considerations for Omics Experiments in Biomedical Sciences.

Vaudel M, Barsnes H, Bjerkvig R, Bikfalvi A, Selheim F, Berven FS, Daubon T.

Curr Pharm Biotechnol. 2016;17(1):105-14. Review.

PMID:
26278526
40.

PeptideShaker enables reanalysis of MS-derived proteomics data sets.

Vaudel M, Burkhart JM, Zahedi RP, Oveland E, Berven FS, Sickmann A, Martens L, Barsnes H.

Nat Biotechnol. 2015 Jan;33(1):22-4. doi: 10.1038/nbt.3109. No abstract available.

PMID:
25574629
41.

JSparklines: making tabular proteomics data come alive.

Barsnes H, Vaudel M, Martens L.

Proteomics. 2015 Apr;15(8):1428-31. doi: 10.1002/pmic.201400356. Epub 2015 Jan 19.

PMID:
25422159
42.

Carboxyl-ester lipase maturity-onset diabetes of the young disease protein biomarkers in secretin-stimulated duodenal juice.

Bjorlykke Y, Vethe H, Vaudel M, Barsnes H, Berven FS, Tjora E, Raeder H.

J Proteome Res. 2015 Jan 2;14(1):521-30. doi: 10.1021/pr500750z. Epub 2014 Nov 4.

PMID:
25369532
43.

Exploring the human plasma proteome for humoral mediators of remote ischemic preconditioning--a word of caution.

Helgeland E, Breivik LE, Vaudel M, Svendsen ØS, Garberg H, Nordrehaug JE, Berven FS, Jonassen AK.

PLoS One. 2014 Oct 15;9(10):e109279. doi: 10.1371/journal.pone.0109279. eCollection 2014.

44.

Distinct protein signature of hypertension-induced damage in the renal proteome of the two-kidney, one-clip rat model.

Vethe H, Finne K, Skogstrand T, Vaudel M, Vikse BE, Hultström M, Placier S, Scherer A, Tenstad O, Marti HP.

J Hypertens. 2015 Jan;33(1):126-35. doi: 10.1097/HJH.0000000000000370.

PMID:
25304470
45.

Performance of super-SILAC based quantitative proteomics for comparison of different acute myeloid leukemia (AML) cell lines.

Aasebø E, Vaudel M, Mjaavatten O, Gausdal G, Van der Burgh A, Gjertsen BT, Døskeland SO, Bruserud O, Berven FS, Selheim F.

Proteomics. 2014 Sep;14(17-18):1971-6. doi: 10.1002/pmic.201300448. Epub 2014 Aug 8. Erratum in: Proteomics. 2016 Aug;16(15-16):2302.

PMID:
25044641
46.

Bioinformatics for proteomics: opportunities at the interface between the scientists, their experiments, and the community.

Vaudel M, Barsnes H, Martens L, Berven FS.

Methods Mol Biol. 2014;1156:239-48. doi: 10.1007/978-1-4939-0685-7_16.

PMID:
24791993
47.

Shedding light on black boxes in protein identification.

Vaudel M, Venne AS, Berven FS, Zahedi RP, Martens L, Barsnes H.

Proteomics. 2014 May;14(9):1001-5. doi: 10.1002/pmic.201300488. Epub 2014 Mar 20.

PMID:
24678044
48.

Time-resolved characterization of cAMP/PKA-dependent signaling reveals that platelet inhibition is a concerted process involving multiple signaling pathways.

Beck F, Geiger J, Gambaryan S, Veit J, Vaudel M, Nollau P, Kohlbacher O, Martens L, Walter U, Sickmann A, Zahedi RP.

Blood. 2014 Jan 30;123(5):e1-e10. doi: 10.1182/blood-2013-07-512384. Epub 2013 Dec 9.

PMID:
24324209
49.

DeNovoGUI: an open source graphical user interface for de novo sequencing of tandem mass spectra.

Muth T, Weilnböck L, Rapp E, Huber CG, Martens L, Vaudel M, Barsnes H.

J Proteome Res. 2014 Feb 7;13(2):1143-6. doi: 10.1021/pr4008078. Epub 2014 Jan 7.

50.

Introduction to opportunities and pitfalls in functional mass spectrometry based proteomics.

Vaudel M, Sickmann A, Martens L.

Biochim Biophys Acta. 2014 Jan;1844(1 Pt A):12-20. doi: 10.1016/j.bbapap.2013.06.019. Epub 2013 Jul 9. Review.

PMID:
23845992

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