Search Results for "ii"

...The Differential Evolution Entirely Parallel method takes into account the individual age, that is defined as the number of iterations the individual survived without changes. The introduced improvements are: (I) allow several oldest individuals to be overwritten by the same number of best ones in the population, (II) new selection rule uses several objective functions in offspring evaluation. RPMs are available at https://build.opensuse.org/project/repositories/home:mackoel:compbio This work is supported by RNF Grant 14-14-00302 and by “5-100-2020” Program of the Russian Ministry of Education and Science. The previous funding included SYSPATHO FP7 project №260429, RFBR grants 10-01-00627-a, 11-01-00573-a, 11-04-001162-a and State Contract with Russian Ministry of Science №14.740.11.0166 and №11.519.11.6041

...J. (2011). Did evolution select a nonrandom “alphabet” of amino acids? Astrobiology, 11(3), 235-240. Ilardo, M., Meringer, M., Freeland, S., Rasulev, B., & Cleaves II, H. J. (2015). Extraordinarily adaptive properties of the genetically encoded amino acids. Scientific reports, 5, 9414. Ilardo, M., Bose, R., Meringer, M., Rasulev, B., Grefenstette, N., Stephenson, J., Freeland, S., Gillams, R. J. , Butch C. J., & Cleaves, H. J. (2019). Adaptive properties of the genetically encoded amino acid alphabet are inherited from its subsets. ...

dataMAPPs allows routine and efficient processing of data from immunogenicity studies applying the MAPPs peptidomics technology to detect potential MHCI- or MHC-II epitopes as presented by dendritic cells (DC). It features quality control of the raw data, across-sample/across-donor normalization and visualization of results in a heatmap style (heatMAPPs). dataMAPPs' core is a generic R library that can be tailored to specific projects via dedicated control scripts which also allow reproducible recalculation of results. ...

PanCoreGen is a Windows-based standalone tool offering 4-in-1 functionalities – (i) pan-/core-genomic profiles across the entire sample set; (ii) similar profiles within user-defined strain-groups; (iii) annotations of user-provided draft genomes; and (iv) detection of unidentified genes in annotated genomes.

MethylExtract is a user friendly tool to generate i) high quality, whole genome methylation maps and ii) to detect sequence variation within the same sample preparation. The program is implemented into a single script and takes into account all major error sources: sequencing errors, bisulfite failure, clonal reads and single nucleotide variants. MethylExtract detects variation (SNVs – Single Nucleotide Variation) in a similar way than VarScan, a very sensitive method extensively used in SNP and genotype calling based on non-bisulfite treated reads.

The VAN package enables an integrative analysis of (i) gene expression data with protein-protein interaction networks or (ii) gene and microRNA expression data with microRNA-gene interaction networks to identify biologically perturbed networks.

...There are extra nucleotides at the end of the hit string (option -diff and by default = 10), that allow to verify if the intron start with common rules (5'-GTGCGA-... for group II intron and after an exonic T for group I intron). If you have Emboss, you can genarate a graphic with option -graph 1. Dependencies: - Perl - Bioperl - UNIX system - tfasty - Emboss (if you want a graphic)

Prediction of MHC class I- and MHC class II-restricted T-cell epitopes. Prediction of proteasomal/immunoproteasomal processing of antigens. Prediction of peptide-TAP binding.

Care4G is a web-based software, as forking of the most famous care2x, it will be a complete HIS for the II Millennium...

JRasterCreator allows you to easily & visually build a raster file for the mass spectrometry instrument Bruker Daltonics MS ultraflex II by clicking on various spots/locations.

Given a reference sequence, simhtsd will create a large set of short nucleotide reads, simulating the output from today's high-throughput DNA sequencers, such as the Illumina Genome Analyzer II.

Tools to build molecular-docking activity prediction models by PLS regression with iterative training and pose-selection. Descriptors include (i) docking score(s), (ii) pharmacophore features, (iii) multi-feature descriptors learned by decision trees.

TIRfinder: A tool for mining class II transposons