Nicholas Shulman

dblp:10/7969 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2020
0000-0003-1674-0794ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
3 papers
Bioinformatics and computational biology · 100%
Network and information security
1 paper
Systems and software security · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › proteomics
mass spectrometry data analysis
0.522020
Audit logs to enforce document integrity in Skyline and Panorama · Bioinform. 2020
A framework for installable external tools in Skyline · Bioinform. 2014
Bioinformatics and computational biology
proteomics
0.322014
A framework for installable external tools in Skyline · Bioinform. 2014
Skyline: an open source document editor for creating and analyzing targeted proteomics experiments · Bioinform. 2010
Systems and software security
data integrity
0.112020
Audit logs to enforce document integrity in Skyline and Panorama · Bioinform. 2020
Systems and software security › data integrity
hash-based integrity protection
0.112020
Audit logs to enforce document integrity in Skyline and Panorama · Bioinform. 2020
Bioinformatics and computational biology › proteomics › quantitative proteomics
targeted proteomics
0.112010
Skyline: an open source document editor for creating and analyzing targeted proteomics experiments · Bioinform. 2010

Methods — techniques the papers use, named apart from their topics

object comparison · 0.9cryptographic hashing · 0.9external tools framework · 0.2
YearPublicationVenuePosition
2020 Audit logs to enforce document integrity in Skyline and Panorama
abstract
SUMMARY: Skyline is a Windows application for targeted mass spectrometry method creation and quantitative data analysis. Like most graphical user interface (GUI) tools, it has a complex user interface with many ways for users to edit their files which makes the task of logging user actions challenging and is the reason why audit logging of every change is not common in GUI tools. We present an object comparison-based approach to audit logging for Skyline that is extensible to other GUI tools. The new audit logging system keeps track of all document modifications made through the GUI or the command line and displays them in an interactive grid. The audit log can also be uploaded and viewed in Panorama, a web repository for Skyline documents that can be configured to only accept documents with a valid audit log, based on embedded hashes to protect log integrity. This makes workflows involving Skyline and Panorama more reproducible. AVAILABILITY AND IMPLEMENTATION: Skyline is freely available at https://skyline.ms. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Tobias Rohde, Rita Chupalov, Nicholas Shulman, Vagisha Sharma, Josh Eckels, Brian S. Pratt, Michael J. MacCoss, Brendan MacLean
Bioinform.3
2014 A framework for installable external tools in Skyline
abstract
UNLABELLED: Skyline is a Windows client application for targeted proteomics method creation and quantitative data analysis. The Skyline document model contains extensive mass spectrometry data from targeted proteomics experiments performed using selected reaction monitoring, parallel reaction monitoring and data-independent and data-dependent acquisition methods. Researchers have developed software tools that perform statistical analysis of the experimental data contained within Skyline documents. The new external tools framework allows researchers to integrate their tools into Skyline without modifying the Skyline codebase. Installed tools provide point-and-click access to downstream statistical analysis of data processed in Skyline. The framework also specifies a uniform interface to format tools for installation into Skyline. Tool developers can now easily share their tools with proteomics researchers using Skyline. AVAILABILITY AND IMPLEMENTATION: Skyline is available as a single-click self-updating web installation at http://skyline.maccosslab.org. This Web site also provides access to installable external tools and documentation. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Daniel Broudy, Trevor Killeen, Meena Choi, Nicholas Shulman, Deepak R. Mani, Susan E. Abbatiello, Deepak Mani, Rushdy Ahmad, Alexandria K. Sahu, Birgit Schilling, Kaipo Tamura, Yuval Boss, Vagisha Sharma, Bradford W. Gibson, Steven A. Carr, Olga Vitek, Michael J. MacCoss, Brendan MacLean
Bioinform.4
2010 Skyline: an open source document editor for creating and analyzing targeted proteomics experiments
abstract
SUMMARY: Skyline is a Windows client application for targeted proteomics method creation and quantitative data analysis. It is open source and freely available for academic and commercial use. The Skyline user interface simplifies the development of mass spectrometer methods and the analysis of data from targeted proteomics experiments performed using selected reaction monitoring (SRM). Skyline supports using and creating MS/MS spectral libraries from a wide variety of sources to choose SRM filters and verify results based on previously observed ion trap data. Skyline exports transition lists to and imports the native output files from Agilent, Applied Biosystems, Thermo Fisher Scientific and Waters triple quadrupole instruments, seamlessly connecting mass spectrometer output back to the experimental design document. The fast and compact Skyline file format is easily shared, even for experiments requiring many sample injections. A rich array of graphs displays results and provides powerful tools for inspecting data integrity as data are acquired, helping instrument operators to identify problems early. The Skyline dynamic report designer exports tabular data from the Skyline document model for in-depth analysis with common statistical tools. AVAILABILITY: Single-click, self-updating web installation is available at http://proteome.gs.washington.edu/software/skyline. This web site also provides access to instructional videos, a support board, an issues list and a link to the source code project.
Brendan MacLean, Daniela M. Tomazela, Nicholas Shulman, Matthew Chambers, Gregory L. Finney, Barbara Frewen, Randall Kern, David L. Tabb, Daniel C. Liebler, Michael J. MacCoss
Bioinform.3