Software<\/h1>\n<\/div><\/i><\/i><\/span>ROPER<\/span><\/a><\/h4><\/div>\nRoper is a R package for differential expression analysis of RNA-Seq using robust profile likelihood method.<\/p>\n
The goal of roper is to accurately detect differentially expressed genes in the presence of unknown forms of additional variation that remains in the RNA-Seq read count.<\/p>\n
Access the package and get updates | ROPER<\/a><\/span><\/p>\n<\/div><\/div><\/div><\/i><\/i><\/span>ViKNGS: A C++ Variant Integrating Kit for Next Generation Sequencing<\/span><\/a><\/h4><\/div>\n![\"vikngs](\"https:\/\/lab.research.sickkids.ca\/strug\/wp-content\/uploads\/sites\/30\/2021\/02\/Vikngs-300x121.png\")
<\/a><\/p>\nVikNGS is a freely available, user friendly C++ package that\u00a0uses the\u00a0RVS methodology<\/span><\/strong><\/a> to remove the bias in genetic association \u00a0due to differences in sequencing parameters \u00a0when combining external NGS data. VikNGS now enables RVS analysis that adjusts for covariates, conducts flexible power analyses and enables combination of NGS from multiple groups for both quantitative and binary trait analysis.<\/p>\n\n- Read the VikNGS Documentation<\/a> <\/span><\/li>\n
- View the source code<\/a><\/span><\/li>\n<\/ul>\n
Reference:<\/b>
\nZeynep Baskurt, Scott Mastromatteo, Jiafen Gong and Lisa Strug
\nVikNGS: A C++\u00a0<\/b>V<\/b><\/u>ariant\u00a0<\/b>I<\/b><\/u>ntegrating\u00a0<\/b>K<\/b><\/u>it for\u00a0<\/b>N<\/b><\/u>ext\u00a0<\/b>G<\/b><\/u>eneration\u00a0<\/b>S<\/b><\/u>equencing across\u00a0<\/b>Research studies for robust rare and common variant association analysis<\/b><\/p>\n
<\/i><\/i><\/span>ROPER<\/span><\/a><\/h4><\/div>\nRoper is a R package for differential expression analysis of RNA-Seq using robust profile likelihood method.<\/p>\n
The goal of roper is to accurately detect differentially expressed genes in the presence of unknown forms of additional variation that remains in the RNA-Seq read count.<\/p>\n
Access the package and get updates | ROPER<\/a><\/span><\/p>\n<\/div><\/div><\/div><\/i><\/i><\/span>ViKNGS: A C++ Variant Integrating Kit for Next Generation Sequencing<\/span><\/a><\/h4><\/div>\n<\/a><\/p>\nVikNGS is a freely available, user friendly C++ package that\u00a0uses the\u00a0RVS methodology<\/span><\/strong><\/a> to remove the bias in genetic association \u00a0due to differences in sequencing parameters \u00a0when combining external NGS data. VikNGS now enables RVS analysis that adjusts for covariates, conducts flexible power analyses and enables combination of NGS from multiple groups for both quantitative and binary trait analysis.<\/p>\n\n- Read the VikNGS Documentation<\/a> <\/span><\/li>\n
- View the source code<\/a><\/span><\/li>\n<\/ul>\n
Reference:<\/b>
\nZeynep Baskurt, Scott Mastromatteo, Jiafen Gong and Lisa Strug
\nVikNGS: A C++\u00a0<\/b>V<\/b><\/u>ariant\u00a0<\/b>I<\/b><\/u>ntegrating\u00a0<\/b>K<\/b><\/u>it for\u00a0<\/b>N<\/b><\/u>ext\u00a0<\/b>G<\/b><\/u>eneration\u00a0<\/b>S<\/b><\/u>equencing across\u00a0<\/b>Research studies for robust rare and common variant association analysis<\/b><\/p>\n
Roper is a R package for differential expression analysis of RNA-Seq using robust profile likelihood method.<\/p>\n
The goal of roper is to accurately detect differentially expressed genes in the presence of unknown forms of additional variation that remains in the RNA-Seq read count.<\/p>\n
Access the package and get updates | ROPER<\/a><\/span><\/p>\n<\/div><\/div><\/div> VikNGS is a freely available, user friendly C++ package that\u00a0uses the\u00a0RVS methodology<\/span><\/strong><\/a> to remove the bias in genetic association \u00a0due to differences in sequencing parameters \u00a0when combining external NGS data. VikNGS now enables RVS analysis that adjusts for covariates, conducts flexible power analyses and enables combination of NGS from multiple groups for both quantitative and binary trait analysis.<\/p>\n Reference:<\/b><\/i><\/i><\/span>ViKNGS: A C++ Variant Integrating Kit for Next Generation Sequencing<\/span><\/a><\/h4><\/div>
<\/a><\/p>\n\n
\nZeynep Baskurt, Scott Mastromatteo, Jiafen Gong and Lisa Strug
\nVikNGS: A C++\u00a0<\/b>V<\/b><\/u>ariant\u00a0<\/b>I<\/b><\/u>ntegrating\u00a0<\/b>K<\/b><\/u>it for\u00a0<\/b>N<\/b><\/u>ext\u00a0<\/b>G<\/b><\/u>eneration\u00a0<\/b>S<\/b><\/u>equencing across\u00a0<\/b>Research studies for robust rare and common variant association analysis<\/b><\/p>\n