Search Results for "technologies"

BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files for visualization, and (9) support for advanced sequencing technologies such as TAB-seq, OxBS-seq, MAP-it, and NOMe-seq.

Accent (Advanced Component Control Enhancing Network Technologies) is a comprehensive tool suite that interfaces a variety of communications systems and allows these systems to be controlled through goals (high-level user aims) and policies (lower-level system rules). Accent has been applied to the domains of: o Call Control: for telecommunications, particularly call control in Internet telephony o Home Care: for home automation and telecare, particularly for domestic appliances and devices to support home care o Sensor Networks: sensor networks, particularly managing wind farms However, the approach is generic and extensible for managing other kinds of systems. ...

lr2rmats is a Snakemake-based light-weight pipeline which is designed to utilize both third-generation long-read and second-generation short-read RNA-seq data to generate an enhanced gene annotation file. The newly generated annotation file could be provided to rMATS for differential alternative splicing analysis. More information can be found at https://sourceforge.net/p/lr2rmats/wiki/Home/

IRSTLM is no more supported on SourceForge. Please visit the new IRSTLM official website: http://hlt-mt.fbk.eu/technologies/irstlm IRSTLM: A tool for the estimation, representation, and computation of statistical language models. IRSTLM, the IRST Language Modeling Toolkit, features algorithms and data structures suitable to estimate, store, and access very large n-gram language models. Our software has been integrated into a popular open source Statistical Machine Translation decoder called Moses, and is compatible with language models created with other tools, such as the SRILM Tooolkit.