Search Results for "input-leap"

** Updated for Windows 10** Lipid Reporter takes your plain old Progenesis QI search exports and allows you to manipulate them in a quick, safe, predictable way. Now with better support for Progenesis QI grouped output! Why muddle things up with Excel? Use Lipid Reporter instead. The supplied filters are all about Lipids. Add the category names, reject Ids that our outside of your favourite retention time range and lots more! This program is not produced by Nonlinear Dynamics...

MSP2MGF processes MSP data files (NIST standard text files for searching) It: converts MSP data files into MGF files (mascot generic format)., produces a new file with the same name as your input file's, allows you to change the mapping of MGF fields into MGF fields, has a command line interface so you can pass files in programatically. You: either drag and drop MSP files onto the window, or pass filenames though a command line argument. Command line arguments: /? displays help information /f anything following is a file you want to process. ...

...It: converts masses to their nearest elemental formula mass (provided that you supply an empirical formula), can normalise intensities to the base peak of a block of ions, produces a new file with the prefix of your choice. You: specify the input line that contains the empirical formula of the parent ion, specify the key that identifies a formula and then the formula) separated by one space character, either drag and drop mgf files onto the window, or pass filenames though a command line argument. Command line arguments: /? displays help information /w runs in windowed mode (the thing you are looking at now) /f anything following is a file you want to process. ...

...It performs annotation and enrichment analyses of user-provided genomic regions (SNPs, ChIP-seq binding sites etc.) against >6,000 (human genome) epigenomic features available from the UCSC genome browser. Input - any genome-wide data data in .bed format (tab-delimited text file with chrom, chromStart, chromEnd). Annotation analysis output - detailed annotation of each genomic region in input data. Used to prioritize individual genomic regions by the total number of epigenomic features they co-localize with. Enrichment analysis output - p-values of statistically significant co-localizations of input genome-wide data with genome annotation features selected for the analysis. ...