31 skills found · Page 1 of 2
milaboratory / MixcrMiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
mikessh / Vdjtools[Deprecated, see README] Post-analysis of immune repertoire sequencing data
mikessh / MigmapHTS-compatible wrapper for IgBlast V-(D)-J mapping tool
abelosorio / Sequelize Replace Enum PostgresProvides replacement of PostgreSQL ENUM in Sequelize migrations
mikessh / MigecA RepSeq processing swiss-knife
antigenomics / Vdjmatch[Deprectated, use vdjmatch2 instead] ⚙️ Matching T-cell repertoire against a database of TCR antigen specificities
uio-bmi / CompairrComparison of Adaptive Immune Receptor Repertoires
antigenomics / Vdjviz🛜 A lightweight immune repertoire browser
mikessh / Repseq TutorialRep-Seq data analysis tutorial
edouardpineau / Seq2VAR Multivariate Time Series Representation LearningGithub page for the paper "Seq2VAR: multivariate time series representation with relational neural networks and linear autoregressive model" published in AALTD 2019, Lecture Notes in Artificial Intelligence, Springer
MaZderMind / Replicate SequencesA small and simple tool to resolve timestamps to replication numbers used on http://planet.osm.org/replication/ (see http://wiki.openstreetmap.org/wiki/Planet.osm/diffs for mor information)
CL-CHEN-Lab / RepliSeqR package for the analysis of Repli-Seq data to study DNA replication timing program: From count matrices, data normalization to replication timing calculation.
Peymankor / Seqdec Powell RepoThis repo will provides the python codes for the book "SEQUENTIAL DECISION ANALYTICS AND MODELING" written by Proff. Warren B. Powell in the notebook format.
williamdlees / TRIgSA collection of bioinformatics tools for sequence analysis, with an emphasis on Next-Generation Sequencing and Rep-Seq.
mlizhangx / Network Analysis For Repertoire Sequencing No description available
Rohith-2 / Chaos Game Representation BioSeqRepresentation of Bio Sequences via Chaos Game and using the same to find similarities
Pargo18 / Applying Deep Learning Vs Machine Learning Models To Reproduce Dry Spell SequencesThis research constitutes an attempt to assess the dry spell patterns in the northern region of Ghana, near Burkina Faso. We aim to develop a model which by exploiting satellite products overcomes the poor temporal and spatial coverage of existing ground precipitation measurements. For this purpose 14 meteorological stations featuring different temporal coverage are used together with satellite-based precipitation products. Conventional machine-learning and deep-learning algorithms were compared in an attempt to establish a link between satellite products and field rainfall data for dry spell assessment.
krdav / SPURFSubstitution Profiles Using Related Families
scup / Speck Sequelize RepositoryA base implementation of Sequelize Repository mapping to Speck Objects.
Aprialna / DynamicRepre Attention SeqRec基于动态表示的注意力机制序列推荐方法
