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http://rulai.cshl.edu/tools/ESE
A web-based analysis service for identifying exonic splicing enhancers in eukaryotic genes. ESEfinder accept sequences in the FASTA format. A typical mammalian gene is composed of several relatively short exons that are interrupted by much longer introns. To generate correct mature mRNAs, the exons must be identified and joined together precisely and efficiently, in a process that requires the coordinated action of five small nuclear (sn)RNAs (U1, U2, U4, U5 and U6) and more than 60 polypeptides. The inaccurate recognition of exon/intron boundaries or the failure to remove an intron generates aberrant mRNAs that are either unstable or code for defective or deleterious protein isoforms. Exonic enhancers are thought to serve as binding sites for specific serine/arginine-rich (SR) proteins, a family of structurally related and highly conserved splicing factors characterized by one or two RNA-recognition motifs (RRM) and by a distinctive C-terminal domain highly enriched in RS dipeptides (the RS domain). The RRMs mediate sequence-specific binding to the RNA, and so determine substrate specificity, whereas the RS domain appears to be involved mainly in protein-protein interactions. SR proteins bound to ESEs can promote exon definition by directly recruiting the splicing machinery through their RS domain and/or by antagonizing the action of nearby silencer elements. Sponsors: ESEfinder is supported by the Cold Spring Harbor Laboratory.
Proper citation: Exonic Splicing Enhancer Finder (RRID:SCR_002835) Copy
Open-source software package for the analysis of neural data. Chronux routines may be employed in the analysis of both point process and continuous data, ranging from preprocessing, exploratory and confirmatory analysis. The current release is implemented as a MATLAB library. Chronux offers several routines for computing spectra and coherences for both point and continuous processes. In addition, it also offers several general purpose routines that were found useful such as a routine for extracting specified segments from data, or binning spike time data with bins of a specified size. Since the data can be continuous valued, point process times, or point processes that are binned, methods that apply to all these data types are given in routines whose names end with ''''c'''' for continuous, ''''pb'''' for binned point processes, and ''''pt'''' for point process times. Thus, mtspectrumc computes the spectrum of continuous data, mtspectrumpb computes a spectrum for binned point processes, and mtspectrumpt compute spectra for data consisting of point process times. Hybrid routines are also available and similarly named - for instance coherencycpb computes the coherency between continuous and binned point process data.
Proper citation: Chronux (RRID:SCR_005547) Copy
Collects mammalian cis- and trans-regulatory elements together with experimental evidence. Regulatory elements were mapped on to assembled genomes. Resource for gene regulation and function studies. Users can retrieve primers, search TF target genes, retrieve TF motifs, search Gene Regulatory Networks and orthologs, and make use of sequence analysis tools. Uses databases such as Genbank, EPD and DBTSS, and employ promoter finding program FirstEF combined with mRNA/EST information and cross-species comparisons. Manually curated.
Proper citation: Transcriptional Regulatory Element Database (RRID:SCR_005661) Copy
http://rulai.cshl.edu/cgi-bin/tools/ESE3/esefinder.cgi?process=home
A web-based resource that facilitates rapid analysis of exon sequences to identify putative exonic splicing enhancers (ESEs) responsive to the human SR proteins SF2/ASF, SC35, SRp40 and SRp55, and to predict whether exonic mutations disrupt such elements.
Proper citation: ESEfinder 3.0 (RRID:SCR_007088) Copy
http://hannonlab.cshl.edu/fastx_toolkit/
Software tool as collection of command line tools for Short-Reads FASTA/FASTQ files preprocessing.
Proper citation: FASTX-Toolkit (RRID:SCR_005534) Copy
A google drive interface for scientific big data. CyVerse cyberinfrastructure is applicable to all life sciences disciplines and works equally well on data from plants, animals, or microbes. It provides life scientists with computational infrastructure to handle large datasets and complex analyses. Its extensible platforms provide data storage, bioinformatics tools, image analyses, cloud services, and APIs.
Proper citation: CyVerse (RRID:SCR_014531) Copy
https://www.cshl.edu/research/cancer/microscopy/
Provides access to microscopes, technical advice and expertise in preparing cells or tissues for immunofluorescence/confocal microscopy, live cell imaging, super resolution imaging, transmission electron microscopy, and immunoelectron microscopy.
Proper citation: Cold Spring Harbor Laboratory Microscopy Shared Resource Core Facility (RRID:SCR_023023) Copy
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