TANDEM: matching proteins with tandem mass spectra
Robertson Craig,Ronald C. Beavis +1 more
TLDR
The application TANDEM was written to provide the proteomics research community with a set of components that can be used to test new methods and algorithms for performing this type of sequence-to-data matching.Abstract:
Summary: Tandem mass spectra obtained from fragmenting peptide ions contain some peptide sequence specific information, but often there is not enough information to sequence the original peptide completely. Several proprietary software applications have been developed to attempt to match the spectra with a list of protein sequences that may contain the sequence of the peptide. The application TANDEM was written to provide the proteomics research community with a set of components that can be used to test new methods and algorithms for performing this type of sequence-to-data matching.
Availability: The source code and binaries for this software are available at http://www.proteome.ca/opensource.html, for Windows, Linux and Macintosh OSX. The source code is made available under the Artistic License, from the authors.read more
Citations
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The Perseus computational platform for comprehensive analysis of (prote)omics data.
Stefka Tyanova,Tikira Temu,Pavel Sinitcyn,Arthur Carlson,Marco Y. Hein,Tamar Geiger,Matthias Mann,Jürgen Cox +7 more
TL;DR: The Perseus software platform was developed to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data and it is anticipated that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.
Journal ArticleDOI
Andromeda: a peptide search engine integrated into the MaxQuant environment
Jürgen Cox,Nadin Neuhauser,Annette Michalski,Richard A. Scheltema,Jesper V. Olsen,Matthias Mann +5 more
TL;DR: A novel peptide search engine using a probabilistic scoring model that can handle data with arbitrarily high fragment mass accuracy, is able to assign and score complex patterns of post-translational modifications, and accommodates extremely large databases.
Journal ArticleDOI
GENCODE: The reference human genome annotation for The ENCODE Project
Jennifer Harrow,Adam Frankish,José M. González,Electra Tapanari,Mark Diekhans,Felix Kokocinski,Bronwen Aken,Daniel Barrell,Amonida Zadissa,Stephen M. J. Searle,If H. A. Barnes,Alexandra Bignell,Veronika Boychenko,Toby Hunt,M. Kay,Gaurab Mukherjee,Jeena Rajan,Gloria Despacio-Reyes,Gary Saunders,Charles A. Steward,Rachel A. Harte,Michael F. Lin,Cédric Howald,Andrea Tanzer,Thomas Derrien,Jacqueline Chrast,Nathalie Walters,Suganthi Balasubramanian,Baikang Pei,Michael L. Tress,Jose Manuel Rodriguez,Iakes Ezkurdia,Jeltje Van Baren,Michael R. Brent,David Haussler,Manolis Kellis,Alfonso Valencia,Alexandre Reymond,Mark Gerstein,Roderic Guigó,Tim Hubbard +40 more
TL;DR: This work has examined the completeness of the transcript annotation and found that 35% of transcriptional start sites are supported by CAGE clusters and 62% of protein-coding genes have annotated polyA sites, and over one-third of GENCODE protein-Coding genes aresupported by peptide hits derived from mass spectrometry spectra submitted to Peptide Atlas.
Journal ArticleDOI
2016 update of the PRIDE database and its related tools
Juan Antonio Vizcaíno,Attila Csordas,Noemi del-Toro,José A. Dianes,Johannes Griss,Ilias Lavidas,Gerhard Mayer,Yasset Perez-Riverol,Florian Reisinger,Tobias Ternent,Qing Wei Xu,Rui Wang,Henning Hermjakob +12 more
TL;DR: The developments in PRIDE resources and related tools are summarized and a brief update on the resources under development 'PRIDE Cluster' and 'PRide Proteomes', which provide a complementary view and quality-scored information of the peptide and protein identification data available inPRIDE Archive are given.
Journal ArticleDOI
A draft map of the human proteome
Min-Sik Kim,Sneha M. Pinto,Derese Getnet,Raja Sekhar Nirujogi,Srikanth S. Manda,Raghothama Chaerkady,Anil K. Madugundu,Dhanashree S. Kelkar,Ruth Isserlin,Shobhit Jain,Joji Kurian Thomas,Babylakshmi Muthusamy,Pamela Leal-Rojas,Pamela Leal-Rojas,Praveen Kumar,Nandini A. Sahasrabuddhe,Lavanya Balakrishnan,Jayshree Advani,Bijesh George,Santosh Renuse,Lakshmi Dhevi N. Selvan,Arun H. Patil,Vishalakshi Nanjappa,Aneesha Radhakrishnan,Samarjeet Prasad,Tejaswini Subbannayya,Rajesh Raju,Manish Kumar,Sreelakshmi K. Sreenivasamurthy,Arivusudar Marimuthu,Gajanan Sathe,Sandip Chavan,Keshava K. Datta,Yashwanth Subbannayya,Apeksha Sahu,Soujanya D. Yelamanchi,Savita Jayaram,Pavithra Rajagopalan,Jyoti Sharma,Krishna R Murthy,Nazia Syed,Renu Goel,Aafaque Ahmad Khan,Sartaj Ahmad,Gourav Dey,Keshav Mudgal,Aditi Chatterjee,Tai-Chung Huang,Jun Zhong,Xinyan Wu,Patrick G. Shaw,Donald Freed,Muhammad Saddiq Zahari,Kanchan K Mukherjee,Subramanian Shankar,Anita Mahadevan,Henry H N Lam,Chris J. Mitchell,Susarla K. Shankar,Parthasarathy Satishchandra,John T. Schroeder,Ravi Sirdeshmukh,Anirban Maitra,Steven D. Leach,Charles G. Drake,Marc K. Halushka,T. S. Keshava Prasad,Ralph H. Hruban,Candace L. Kerr,Candace L. Kerr,Gary D. Bader,Christine A. Iacobuzio-Donahue,Harsha Gowda,Akhilesh Pandey +73 more
TL;DR: A draft map of the human proteome is presented using high-resolution Fourier-transform mass spectrometry to discover a number of novel protein-coding regions, which includes translated pseudogenes, non-c coding RNAs and upstream open reading frames.
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