Results for "Clustering"
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R package for visualising GO enrichment
An R package that visualizes the GO enrichment results as word clouds and arranges them together with figures of experimental data. This allows us to draw informative summary plots for analyses such as differential expression or clustering, where for each gene list we display its behaviour in the...Tags: R, GO, Gene Enrichments, Clustering, GO annotation, CRAN
3925 days ago
PostDoc Scientist Bioinformatics at CCMB
1. Project Assistant/Junior Research Fellow/ Project Fellow [PA_JRF_PF] a) M.Sc/or equivalent in biological sciences/related areas [Position Code: PA_JRF_PF_a] b) B.E/B.Tech/ M.Sc in biotechnology/bioinformatics/computer science/Chemistry/Physics or MCA [Position Code: PA_JRF_PF_b] c) M.Sc/o...Tags: Bioinformatics, NGS, Proteomics, Bio-statistics, computer science, Clustering, Parallel Processing
3493 days ago
Postdoc position in protein annotation and machine learning - Paris, France
We are interested in finding an excellent postdoc with interests in protein functional annotation, machine learning and computer grids. The position is open for 3.5 years at the Université Pierre et Marie Curie, in the heart of Paris. Research topic: Protein function annotation, multiple proba...Tags: Bioinformatics, NGS, Proteomics, Computer Science, Clustering, Parallel Processing, Alessandra Carbone, France
3486 days ago
Biinformamatics Lead at Google Life Sciences
Google Life Sciences is recruiting a technical lead with experience in bioinformatics and clinical bioinformatics, including for biomarker discovery projects such as the Baseline study. Responsibilities Lead teams of scientists in structuring, prototyping, and executing large-scale bioinfor...Tags: Bioinformatics, NGS, Proteomics, Bio-statistics, Computer science, Clustering, Parallel Processing, Google, Google Life Science, Team Lead, Data Mining
3473 days ago
CNIDARIA: fast, reference-free phylogenomic clustering
Motivation: Identification of biological specimens is a major requirement for a range of applications. Reference-free methods analyse unprocessed sequencing data without relying on prior knowledge, but these do not scale to arbitrarily large genomes and arbitrarily large phylogenetic distances. ...Tags: Bioinformatics, CNIDARIA, Fast, Reference-free, Phylogenomic, Clustering, NGS
2864 days ago
- RapClust is a tool for clustering contigs from de novo transcriptome assemblies. RapClust is designed to be run downstream of the Sailfish or Salmon tools for rapid transcript-level quantification. Specifically, RapClust relies on the fragment equivalence classe...
Tags: RapClust, Accurate, Lightweight, Clustering, de novo, Transcriptomes, Fragment, Equivalence, Classes
2024 days ago
