Skip to main content

Adapter trimming and other preprocessing of high-throughput sequencing reads

Project description

install with bioconda

Cutadapt

Cutadapt finds and removes adapter sequences, primers, poly-A tails and other types of unwanted sequence from your high-throughput sequencing reads.

Cleaning your data in this way is often required: Reads from small-RNA sequencing contain the 3’ sequencing adapter because the read is longer than the molecule that is sequenced. Amplicon reads start with a primer sequence. Poly-A tails are useful for pulling out RNA from your sample, but often you don’t want them to be in your reads.

Cutadapt helps with these trimming tasks by finding the adapter or primer sequences in an error-tolerant way. It can also modify and filter single-end and paired-end reads in various ways. Adapter sequences can contain IUPAC wildcard characters. Cutadapt can also demultiplex your reads.

Cutadapt is available under the terms of the MIT license.

Cutadapt development was started at TU Dortmund University in the group of Prof. Dr. Sven Rahmann. It is currently being developed within NBIS (National Bioinformatics Infrastructure Sweden).

Citation

If you use Cutadapt, please cite DOI:10.14806/ej.17.1.200 .

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

cutadapt-5.2.tar.gz (253.6 kB view details)

Uploaded Source

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

cutadapt-5.2-cp313-cp313-win_amd64.whl (221.5 kB view details)

Uploaded CPython 3.13Windows x86-64

cutadapt-5.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (277.6 kB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

cutadapt-5.2-cp313-cp313-macosx_11_0_arm64.whl (231.6 kB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

cutadapt-5.2-cp312-cp312-win_amd64.whl (224.0 kB view details)

Uploaded CPython 3.12Windows x86-64

cutadapt-5.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (281.1 kB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

cutadapt-5.2-cp312-cp312-macosx_11_0_arm64.whl (234.9 kB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

cutadapt-5.2-cp311-cp311-win_amd64.whl (222.9 kB view details)

Uploaded CPython 3.11Windows x86-64

cutadapt-5.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (280.5 kB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

cutadapt-5.2-cp311-cp311-macosx_11_0_arm64.whl (234.8 kB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

cutadapt-5.2-cp310-cp310-win_amd64.whl (222.5 kB view details)

Uploaded CPython 3.10Windows x86-64

cutadapt-5.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (277.6 kB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

cutadapt-5.2-cp310-cp310-macosx_11_0_arm64.whl (231.5 kB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

cutadapt-5.2-cp39-cp39-win_amd64.whl (223.6 kB view details)

Uploaded CPython 3.9Windows x86-64

cutadapt-5.2-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl (277.7 kB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64manylinux: glibc 2.28+ x86-64

cutadapt-5.2-cp39-cp39-macosx_11_0_arm64.whl (233.3 kB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

File details

Details for the file cutadapt-5.2.tar.gz.

File metadata

  • Download URL: cutadapt-5.2.tar.gz
  • Upload date:
  • Size: 253.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cutadapt-5.2.tar.gz
Algorithm Hash digest
SHA256 2394deead42ecae5fe0fdf369e35f3e2afed770e14059582272779c2e8295d3c
MD5 df4c043aeee9b3416ba727343636e7ca
BLAKE2b-256 250a2b4007e4577dd3e19affdf7aa716ebf9642e224d68a9205b2081d42ed08a

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: cutadapt-5.2-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 221.5 kB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cutadapt-5.2-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 96b60b935e2439787544c5cc44def71ea8a8278635edeaa5baff2538a46e7bdb
MD5 a67945ca7221a28a05af3d6b79878766
BLAKE2b-256 6177e800f49b97dad5b27ff8b4c269f023ea6e301540c86b1f003e7ce16093d5

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp313-cp313-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 1b7ec1b89ad59eac9cb8576b88439a0bceb7952b97afd4b89a1e0fa2305c8e38
MD5 f3c361883932913740da5e64794da5a2
BLAKE2b-256 ddee84d40098f313c85f9dd40da71e6214701e0b4065603cd753cb98d2e5ba12

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dd3c7f776c2193ba7a9c11efb01588177b599ab53ddbe037ecc6eb70662b87ce
MD5 5f05b1991ac934431d63378d2a35e723
BLAKE2b-256 596843d67448ee0b764bb67bf160a75b31ea37ba30cdedd83e2c4968a75aeecd

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: cutadapt-5.2-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 224.0 kB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cutadapt-5.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 8344bd489a2f44fc2d6a96a728b8c438a02d9338f9311db328ea0ca2f62f7f8f
MD5 171e76df37ce240e9fc97532630f95ae
BLAKE2b-256 41cfed81120bfbd5a61c714e791c742ddd9cd64e40c1eb43c1293a21596b19a2

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 b851f4d651dc86f2826c22b8a302505e1e0ef80cd73330c6db69892e0f677dce
MD5 03fcb070c18b978864fdaddc24c19282
BLAKE2b-256 6597a64e447ba9e891e765393ce8606119f0247c9a8dd6fccbabd8adea21bb44

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 82a1719b8b9b9398fd356cb73e11bc489fa3b5bbe0273421bd40bd2b0330812e
MD5 476005ac6b462a60dbec2e4ff3c15af4
BLAKE2b-256 b0a12a5d56570c870fef25f012f46609b8a53f41672cee462b382ef1fa8c881a

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: cutadapt-5.2-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 222.9 kB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cutadapt-5.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 1a578c64cf9b0837c887ceebb889658ca23b4c059c5f92c2dd6decb337b3e717
MD5 2f08a90c91011f26062be45cfa4221b1
BLAKE2b-256 9efdc0dfd6b4fe1d51b4b66378974362c632667ee2420eb05282950bfaa82100

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 909a65c93c8314e75ce5780ab714f9c7dcb1f5a0eb848f8304421adc1111bb6f
MD5 c1aa14a51bb76f9599276220835d9db7
BLAKE2b-256 926578dfd1d27ef4fb5f2701b5ae43ae620958e9c2c793eb3efc24c5a2d9cb89

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 dbaf12df903971ff780518d8ba0a2c70e63c8448ae406568574037b957fd4814
MD5 d7dad7457a69526155c45195c65019c6
BLAKE2b-256 7593dbf2fce63c14d453264844853a748930811bb852deb9ae39f158e89114a7

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: cutadapt-5.2-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 222.5 kB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cutadapt-5.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 7e53a3ec8da08cc52d35b132b2932b11c79fec88cda4d4d23b54c5f53bb67cbc
MD5 88d3d0c6a3267e46b273f0e992194cdf
BLAKE2b-256 c27996c11b34635805f3efc785b79ac16be7ff43336a99c1fb73cf4ba150d6ad

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 013a0b0f8e7c4231bf630987006d0232cd3ea18d3f48c81039c375331ef9607e
MD5 91b3d3a928b1219f0a1e7e9b06ec0523
BLAKE2b-256 125c2c75ea0fd17214ac15b0c1369defca8541209a181f7c3eb50f6cc1495290

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 695a21ede284655f06d1a509a26cb56d86027a106ade16c5f4f27e3884e5ec2c
MD5 e4890be881ab18e848b2ba18449f3fcc
BLAKE2b-256 03996995b205d3e62811be54edae8f6d24363ced64cf3f5c9dbe84e70b83aba1

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: cutadapt-5.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 223.6 kB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for cutadapt-5.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 ac99f308c7f984298c9053a18cc4707cd6d722c2ce039063bb35e9983a1fa68a
MD5 228558294b6c196f8f483b3827bc8bd4
BLAKE2b-256 cf37b0aeea389274d896d17f7789ff6d2e814fbbae00c377b70ddd4c6ea1366e

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 327341282149ddea33cb0c1f20cfc52555d0f54c80c98926ab369691ec184a58
MD5 874b5ea7730bd46f0f47737f440c283f
BLAKE2b-256 0d9184df412c57e2a8af8f0e5ff34b1a5bb9b188765a6b052036e96c9f70ad6f

See more details on using hashes here.

File details

Details for the file cutadapt-5.2-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for cutadapt-5.2-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ecea382af4ae7c81e9294d12513fc4fa096922fc1fced012c1c72afcef2bc605
MD5 115e78cd04150dfcf960bb230d704ba2
BLAKE2b-256 2f3d4e196b5f09b19b411b830c4b838b4c141c72aadfd1438c9db2cfe7b2af3a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page