ENCODE Software
All software used or developed by the ENCODE Consortium
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- Croo — sourceCroo is a Python package for organizing outputs from Cromwell. Croo parses metadata.json which is an output from Cromwell and makes an organized directory with a copy (or a soft link) of each output file as described in an output definition JSON file specified by --out-def-json.Software type: framework
- Caper — sourceCaper (Cromwell Assisted Pipeline ExecutoR) is a wrapper Python package for Cromwell. Caper is based on Unix and cloud platform CLIs (curl, gsutil and aws) and provides easier way of running Cromwell server/run modes by automatically composing necessary input files for Cromwell. Also, Caper supports easy automatic file transfer between local/cloud storages (local path, s3://, gs:// and http(s)://). You can use these URIs in input JSON file or for a WDL file itself.Software type: framework
- Check Files — sourceFiles are checked to see if the MD5 sum (both for gzipped and ungzipped) is identical to the submitted metadata, as well as run through the validateFiles program from Jim Kent's source utilities.
- FASTQ read-name correctionA script resolving FASTQ read-name inconsistencies
- gemBS — sourcegemBS is a high performance bioinformatic pipeline designed for highthroughput analysis of DNA methylation data from whole genome bisulfites sequencing data (WGBS). It combines GEM3, a high performance read aligner and bs_call, a high performance variant and methyation caller, into a streamlined and efficient pipeline for bisulfite sueqnce analysis.
- kallistokallisto is a program for quantifying abundances of transcripts from RNA-Seq data, or more generally of target sequences using high-throughput sequencing reads. It is based on the novel idea of pseudoalignment for rapidly determining the compatibility of reads with targets, without the need for alignment. On benchmarks with standard RNA-Seq data, kallisto can quantify 30 million human reads in less than 3 minutes on a Mac desktop computer using only the read sequences and a transcriptome index that itself takes less than 10 minutes to build. Pseudoalignment of reads preserves the key information needed for quantification, and kallisto is therefore not only fast, but also as accurate than existing quantification tools. In fact, because the pseudoalignment procedure is robust to errors in the reads, in many benchmarks kallisto significantly outperforms existing tools.
- dbGaP SRA to fastqConverts dbGaP-protected raw data in sra format to fastq format.