D
Donald Freed
Researcher at Johns Hopkins University
Publications - Ā 12
Citations - Ā 2619
Donald Freed is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Computer science & Pipeline (software). The author has an hindex of 7, co-authored 8 publications receiving 2217 citations. Previous affiliations of Donald Freed include Kennedy Krieger Institute.
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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.
Journal ArticleDOI
Intersection of diverse neuronal genomes and neuropsychiatric disease: The Brain Somatic Mosaicism Network
Michael J. McConnell,John V. Moran,Alexej Abyzov,Schahram Akbarian,Taejeong Bae,Isidro Cortes-Ciriano,Jennifer A. Erwin,Liana Fasching,Diane A. Flasch,Donald Freed,Donald Freed,Javier Ganz,Javier Ganz,Andrew E. Jaffe,Kenneth Y. Kwan,Kenneth Y. Kwan,Min-Seok Kwon,Michael A. Lodato,Michael A. Lodato,Ryan E. Mills,ApuĆ£ C. M. Paquola,Rachel E. Rodin,Rachel E. Rodin,Chaggai Rosenbluh,Nenad Sestan,Maxwell A. Sherman,Joo Heon Shin,Saera Song,Saera Song,Richard E. Straub,Jeremy Thorpe,Jeremy Thorpe,Daniel R. Weinberger,Alexander E. Urban,Bo Zhou,Fred H. Gage,Thomas Lehner,Geetha Senthil,Christopher A. Walsh,Christopher A. Walsh,Andrew Chess,Eric Courchesne,Joseph G. Gleeson,Joseph G. Gleeson,Jeffrey M. Kidd,Peter J. Park,Jonathan Pevsner,Jonathan Pevsner,Flora M. Vaccarino +48 more
TL;DR: Genomic technologies, including advances in long-read, next-generation DNA sequencing technologies, single-cell genomics, and cutting-edge bioinformatics, can make it possible to determine the types and frequencies of somatic mutations within the human brain.
Posted ContentDOI
The Sentieon Genomics Tools - A fast and accurate solution to variant calling from next-generation sequence data
TL;DR: The Sentieon Genomics tools provide an optimized reimplementation of the most accurate pipelines for calling variants from next-generation sequence data, resulting in more than a 10-fold increase in processing speed while providing identical results to best practices pipelines.
Journal ArticleDOI
Somatic Mosaicism in the Human Genome
TL;DR: The advent of second-generation sequencing technologies has augmented existing array-based and cytogenetic approaches for the identification of somatic mutations and the strengths and weaknesses of these techniques are outlined.
Journal ArticleDOI
The Contribution of Mosaic Variants to Autism Spectrum Disorder.
TL;DR: The results indicate a contributory role for multi-tissue mosaic mutation in some individuals with an ASD diagnosis, and build a model of de novo variation incorporating mosaic variants and errors in classification of mosaic status.