Source code and user manual to execute it for the manuscript "Genome-wide analysis of somatic noncoding mutation patterns in cancer" by Felix Dietlein, Alex B. Wang, Christian Fagre, Anran Tang, Nicolle Besselink, Edwin Cuppen, Chunliang Li, Shamil R. Sunyaev, James T. Neal & Eliezer M. Van Allen
This is the directory containing source code necessary to reproduce analyses presented in the manusc...
<p>Source code demonstrating machine learning techniques for classifying mutagenic origins. Written ...
Technological advancements have enabled quantification of processes within and around us. The inform...
This .zip file contains the source code necessary to replicate the key aspects of the analysis prese...
Summary: Mutational signatures are patterns in the occurrence of somatic single-nucleotide vari-ants...
The scripts used for the analysis of our manuscript "Optimized high-throughput screening of non-codi...
none3The recent improvement of the high-throughput sequencing technologies is having a strong impact...
Whole genomes are being sequenced at an accelerated pace but research into cancer causing mutations ...
International audienceProgress in next-generation sequencing provides unprecedented opportunities to...
Processed data and code to generate all main figures and extended data figures for the manuscript "G...
This upload contains the supplementary Code S1 and S2 for the article Substitution mutational signat...
Summary Mutational signatures are patterns in the occurrence of somatic single nucleotide variants (...
The International Cancer Genome Consortium (ICICGC) aims to catalog genomic abnormalities in tumors ...
The vast majority of the human genome (~98%) is non-coding. A symphony of non-coding sequences resi...
AbstractThe availability of the human genome sequence and progress in sequencing and bioinformatic t...
This is the directory containing source code necessary to reproduce analyses presented in the manusc...
<p>Source code demonstrating machine learning techniques for classifying mutagenic origins. Written ...
Technological advancements have enabled quantification of processes within and around us. The inform...
This .zip file contains the source code necessary to replicate the key aspects of the analysis prese...
Summary: Mutational signatures are patterns in the occurrence of somatic single-nucleotide vari-ants...
The scripts used for the analysis of our manuscript "Optimized high-throughput screening of non-codi...
none3The recent improvement of the high-throughput sequencing technologies is having a strong impact...
Whole genomes are being sequenced at an accelerated pace but research into cancer causing mutations ...
International audienceProgress in next-generation sequencing provides unprecedented opportunities to...
Processed data and code to generate all main figures and extended data figures for the manuscript "G...
This upload contains the supplementary Code S1 and S2 for the article Substitution mutational signat...
Summary Mutational signatures are patterns in the occurrence of somatic single nucleotide variants (...
The International Cancer Genome Consortium (ICICGC) aims to catalog genomic abnormalities in tumors ...
The vast majority of the human genome (~98%) is non-coding. A symphony of non-coding sequences resi...
AbstractThe availability of the human genome sequence and progress in sequencing and bioinformatic t...
This is the directory containing source code necessary to reproduce analyses presented in the manusc...
<p>Source code demonstrating machine learning techniques for classifying mutagenic origins. Written ...
Technological advancements have enabled quantification of processes within and around us. The inform...