1. [PDF] Untitled - NET
Authors List: Satoshi Ino, Chikara Kohda, Kosuke Takeshima, Hiroki Ishikawa, ... publication blacklist for any journal published ... Signature: Hiroshi TakdusliƊate ...
2. Hiroki Ishikawa | OIST Groups
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Associate Professor Education BSc MSc PhD (Nagoya University) Nationality Japan Research Career Nagoya University University of Miami Tohoku University Awards Milstein young investigator award, International society for interferon and cytokine research (2009) Selected Publications Ishikawa, H., and Barber, G.N. (2011) The STING pathway and regulation of innate immune signaling in response to DNA pathogens. Cell Mol. Life Sci. 68, 1157-65. Ishikawa, H., Ma, Z., and Barber, G.N. (2009) STING regulates intracellular DNA-mediated, type I interferon-dependent innate immunity. Nature 461, 778-792.
3. [PDF] NMM - Journal of Nuclear Materials Management
I guess he didn't want to get on one of my two infamous blacklists—this one the No Show. Blacklist.) As I've said previously the. INMM Annual Meeting program ...
4. JunB is required for CD8 + T cell responses to acute infections
We demonstrate that JunB is essential for cytotoxic CD8 + T cell responses. JunB expression is transiently induced, depending on the T cell receptor signal ...
Abstract. Basic-leucine zipper transcription factor ATF-like (BATF) and interferon regulatory factor 4 (IRF4) are crucial transcription factors for the gen
5. Combined burden and functional impact tests for cancer driver ...
A software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole ...
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers ...
6. [PDF] 2nd Half FARA Report to Congress ending December 31, 2008
haven blacklist legislation S.779 and Isle of Man's anti-money laundering ... The registrant provided information and materials relating to the Ishikawa ...
7. Hiroki Ishikawa | Okinawa Institute of Science and Technology OIST
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8. Butler enables rapid cloud-based analysis of thousands of human ...
Mar 21, 2023 · Isaacs, Keren Isaev, Shumpei Ishikawa ... Yamaguchi, Masakazu Yamamoto, Shogo Yamamoto, Hiroki Yamaue, Fan Yang, Huanming Yang, Jean Y.
We present Butler, a computational tool that facilitates large-scale genomic analyses on public and academic clouds. Butler includes innovative anomaly detection and self-healing functions that improve the efficiency of data processing and analysis ...
9. [PDF] 2nd Half FARA Report to Congress ending December 31, 2007
haven blacklist legislation S.779. $148,248.00 for ... The registrant provided information and materials relating to the Ishikawa Prefectural Government.
10. Combined burden and functional impact tests for cancer driver ...
Feb 5, 2020 · Shumpei Ishikawa, Hiroto Katoh & Daisuke Komura. Department of ... , Hiroki Yamaue; , Fan Yang; , Huanming Yang; , Jean Y. Yang; , Liming ...
The discovery of driver mutations is one of the key motivations for cancer genome sequencing. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium, which aggregated whole genome sequencing data from 2658 cancers across 38 tumour types, we describe DriverPower, a software package that uses mutational burden and functional impact evidence to identify driver mutations in coding and non-coding sites within cancer whole genomes. Using a total of 1373 genomic features derived from public sources, DriverPower’s background mutation model explains up to 93% of the regional variance in the mutation rate across multiple tumour types. By incorporating functional impact scores, we are able to further increase the accuracy of driver discovery. Testing across a collection of 2583 cancer genomes from the PCAWG project, DriverPower identifies 217 coding and 95 non-coding driver candidates. Comparing to six published methods used by the PCAWG Drivers and Functional Interpretation Working Group, DriverPower has the highest F1 score for both coding and non-coding driver discovery. This demonstrates that DriverPower is an effective framework for computational driver discovery. Analysis of cancer genome sequencing data has enabled the discovery of driver mutations. Here, as part of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium the authors present DriverPower, a software package that identifies coding and non-coding driver mutations within c...
