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Python utility libraries on genome assembly, annotation and comparative genomics

Project Description
# JCVI utility libraries

[![Latest PyPI version](](
[![Number of PyPI downloads](](

Collection of Python libraries to parse bioinformatics files, or perform
computation related to assembly, annotation, and comparative genomics.

| | |
| --- | --- |
| Authors | Haibao Tang ([tanghaibao]( |
| | Vivek Krishnakumar ([vivekkrish]( |
| | Jingping Li ([Jingping]( |
| | Xingtan Zhang ([tangerzhang]( |
| Email | <> |
| License | [BSD]( |

## Contents

Following modules are available as generic Bioinformatics handling

- `algorithms`
- Linear programming solver with SCIP and GLPK.
- Supermap: find set of non-overlapping anchors in BLAST or NUCMER output.
- Longest or heaviest increasing subsequence.
- Matrix operations.

- `apps`
- GenBank entrez accession, phytozome, ensembl and SRA downloader.
- Calculate (non)synonymous substitution rate between gene pairs.
- Basic phylogenetic tree construction using PHYLIP, PhyML, or RAxML, and viualization.
- Wrapper for BLAST+, LASTZ, LAST, BWA, BOWTIE2, CLC, CDHIT, CAP3, etc.

- `formats`

Currently supports `.ace` format (phrap, cap3, etc.), `.agp`
(goldenpath), `.bed` format, `.blast` output, `.btab` format,
`.coords` format (`nucmer` output), `.fasta` format, `.fastq`
format, `.fpc` format, `.gff` format, `obo` format (ontology),
`.psl` format (UCSC blat, GMAP, etc.), `.posmap` format (Celera
assembler output), `.sam` format (read mapping), `.contig`
format (TIGR assembly format), etc.

- `graphics`
- BLAST or synteny dot plot.
- Histogram using R and ASCII art.
- Paint regions on set of chromosomes.
- Macro-synteny and micro-synteny plots.

- `utils`
- Grouper can be used as disjoint set data structure.
- range contains common range operations, like overlap
and chaining.
- Sybase connector to JCVI internal database.
- Miscellaneous cookbook recipes, iterators decorators,
table utilities.

Then there are modules that contain domain-specific methods.

- `assembly`
- K-mer histogram analysis.
- Preparation and validation of tiling path for clone-based assemblies.
- Scaffolding through BAMBUS, optical map and genetic map.
- Pre-assembly and post-assembly QC procedures.

- `annotation`
- Training of *ab initio* gene predictors.
- Calculate gene, exon and intron statistics.
- Wrapper for PASA and EVM.
- Launch multiple MAKER processes.

- `compara`
- C-score based BLAST filter.
- Synteny scan (de-novo) and lift over (find nearby anchors).
- Ancestral genome reconstruction using Sankoff's and PAR method.
- Ortholog and tandem gene duplicates finder.

## Applications

Please visit [wiki]( for
full-fledged applications. Also visit our
[Gallery]( to see our
graphics functionality for the production of publication-ready figures.

## Dependencies

Following are a list of third-party python packages that are used by
some routines in the library. These dependencies are *not* mandatory
since they are only used by a few modules.

- [Biopython](
- [numpy](
- [matplotlib](

There are other Python modules here and there in various scripts. The
best way is to install them via `pip install` when you see

## Installation

The easiest way is to install it via PyPI:

pip install jcvi

To install the development version:

pip install git+git://

Alternatively, if you want to install manually:

cd ~/code # or any directory of your choice
git clone git://

Please replace `~/code` above with whatever you like, but it must
contain `jcvi`. To avoid setting `PYTHONPATH` everytime, please insert
the `export` command in your `.bashrc` or `.bash_profile`.

In addition, a few module might ask for locations of external programs,
if the extended cannot be found in your `PATH`. The external programs
that are often used are:

- [Kent tools](

Most of the scripts in this package contains multiple actions. To use
the `fasta` example:

python -m jcvi.formats.fasta ACTION

Available ACTIONs:
clean | Remove irregular chars in FASTA seqs
diff | Check if two fasta records contain same information
extract | Given fasta file and seq id, retrieve the sequence in fasta format
fastq | Combine fasta and qual to create fastq file
filter | Filter the records by size
format | Trim accession id to the first space or switch id based on 2-column mapping file
fromtab | Convert 2-column sequence file to FASTA format
gaps | Print out a list of gap sizes within sequences
identical | Given 2 fasta files, find all exactly identical records
ids | Generate a list of headers
info | Run `sequence_info` on fasta files
ispcr | Reformat paired primers into isPcr query format
join | Concatenate a list of seqs and add gaps in between
longestorf | Find longest orf for CDS fasta
pair | Sort paired reads to .pairs, rest to .fragments
pairinplace | Starting from fragment.fasta, find if adjacent records can form pairs
pool | Pool a bunch of fastafiles together and add prefix
qual | Generate dummy .qual file based on FASTA file
random | Randomly take some records
sequin | Generate a gapped fasta file for sequin submission
some | Include or exclude a list of records (also performs on .qual file if available)
sort | Sort the records by IDs, sizes, etc.
summary | Report the real no of bases and N's in fasta files
tidy | Normalize gap sizes and remove small components in fasta
translate | Translate CDS to proteins
trim | Given a cross_match screened fasta, trim the sequence
trimsplit | Split sequences at lower-cased letters
uniq | Remove records that are the same

Then you need to use one action, you can just do:

python -m jcvi.formats.fasta extract

This will tell you the options and arguments it expects.

**Feel free to check out other scripts in the package, it is not just
for FASTA.**

## Reference

Haibao Tang et al. (2015). jcvi: JCVI utility libraries. Zenodo.
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