After getting Arthropoda and Unassigned reads extracted to FastA format (notebook entry) using MEGAN6 Community Edition, the next step was to use the FastA files to extract reads in FastQ format. I used seqtk to do this. The process is documented in the Jupyter Notebook below.

Jupyter Notebook:

• GitHub:

  • 20230730-mmag-megan-fasta_to_fastq.ipynb

• NB Viewer:

  • 20230730-mmag-megan-fasta_to_fastq.ipynb

---

RESULTS

Output folder:

• 20230730.mmag-megan_reads/

FastQ Files

• 20230730.mmag.CH01-06.trimmed.megan_R1.fq.gz (218M)

  • MD5: e6047623dc885392b3ae816f094552b4

• 20230730.mmag.CH01-06.trimmed.megan_R2.fq.gz (224M)

  • MD5: 40b096dc26066a0d715d05e4bde36806

• 20230730.mmag.CH01-14.trimmed.megan_R1.fq.gz (405M)

  • MD5: 401d6206dcd62c8b682536eef19ee4cc

• 20230730.mmag.CH01-14.trimmed.megan_R2.fq.gz (412M)

  • MD5: dcfe7a42861fa7406e1cc16522584045

• 20230730.mmag.CH01-22.trimmed.megan_R1.fq.gz (238M)

  • MD5: e9c1b9a7d3afb9bdd4beaff2c6ddb0fa

• 20230730.mmag.CH01-22.trimmed.megan_R2.fq.gz (242M)

  • MD5: 7491813d90b50e08e3cefca8e1a1d7fc

• 20230730.mmag.CH01-38.trimmed.megan_R1.fq.gz (405M)

  • MD5: 99bf9577b46bf2dfca8b8ac042e179ed

• 20230730.mmag.CH01-38.trimmed.megan_R2.fq.gz (410M)

  • MD5: 4be920ddd78862fe25a46e66235faad4

• 20230730.mmag.CH03-04.trimmed.megan_R1.fq.gz (214M)

  • MD5: 2f85cd2b10061b89011123d3bfa58d4f

• 20230730.mmag.CH03-04.trimmed.megan_R2.fq.gz (218M)

  • MD5: d220a8d18d8a67bfba19410879464f43

• 20230730.mmag.CH03-15.trimmed.megan_R1.fq.gz (260M)

  • MD5: a20b5ac49bdf3e17f18d0dbc1b60d6d2

• 20230730.mmag.CH03-15.trimmed.megan_R2.fq.gz (265M)

  • MD5: 7cf21ab8f759a50183d31584aac1d1e3

• 20230730.mmag.CH03-33.trimmed.megan_R1.fq.gz (235M)

  • MD5: be8e50bf2c6747671ab4c2f2c3cbc5fd

• 20230730.mmag.CH03-33.trimmed.megan_R2.fq.gz (235M)

  • MD5: a5edfe0babb198adb29d1a19784f678b

• 20230730.mmag.CH05-01.trimmed.megan_R1.fq.gz (248M)

  • MD5: 53ef62108920c3957954ac443418ca92

• 20230730.mmag.CH05-01.trimmed.megan_R2.fq.gz (254M)

  • MD5: 0c22a7ca75b5c5adb646794115f112c7

• 20230730.mmag.CH05-06.trimmed.megan_R1.fq.gz (219M)

  • MD5: f5abf6a6f57473c7a8aed7b37472a4d2

• 20230730.mmag.CH05-06.trimmed.megan_R2.fq.gz (223M)

  • MD5: 3f17e210323b66673b87682e18c65756

• 20230730.mmag.CH05-07.trimmed.megan_R1.fq.gz (241M)

  • MD5: 3e3823bbf19ec39bca8d5544640a4211

• 20230730.mmag.CH05-07.trimmed.megan_R2.fq.gz (243M)

  • MD5: 58189bc49bee52fa10aca82274657ce3

• 20230730.mmag.CH05-09.trimmed.megan_R1.fq.gz (335M)

  • MD5: c6900bf83ffbf843216fb67fce1c7df2

• 20230730.mmag.CH05-09.trimmed.megan_R2.fq.gz (339M)

  • MD5: 02f9adfa7438fb42b4dca917aa4763fb

• 20230730.mmag.CH05-14.trimmed.megan_R1.fq.gz (336M)

  • MD5: fa31a570dc375a9fd2764b4723fad235

• 20230730.mmag.CH05-14.trimmed.megan_R2.fq.gz (341M)

  • MD5: 99e636f1a2ebdd870d6f822901ceed61

• 20230730.mmag.CH05-21.trimmed.megan_R1.fq.gz (319M)

  • MD5: 753d18733a2d9c041660d3b8c14c8f6e

• 20230730.mmag.CH05-21.trimmed.megan_R2.fq.gz (324M)

  • MD5: f5d38ef3d32b2e11a23ca6a46098b8e6

• 20230730.mmag.CH05-29.trimmed.megan_R1.fq.gz (350M)

  • MD5: 383b33f41b1412d9dbf0dcc9457a305c

• 20230730.mmag.CH05-29.trimmed.megan_R2.fq.gz (360M)

  • MD5: 9a910e7748d1aa92c8035df26c1cc42b

• 20230730.mmag.CH07-04.trimmed.megan_R1.fq.gz (193M)

  • MD5: 370c7b651ff1cc7c1406123d831e7d64

• 20230730.mmag.CH07-04.trimmed.megan_R2.fq.gz (196M)

  • MD5: 1574c16f21475c91aa21ae9f81426768

• 20230730.mmag.CH07-06.trimmed.megan_R1.fq.gz (262M)

  • MD5: 9d44fc4c9f7a7c7df0125b6174613627

• 20230730.mmag.CH07-06.trimmed.megan_R2.fq.gz (265M)

  • MD5: ac41ebdd06208c728e1146839153b29e

• 20230730.mmag.CH07-08.trimmed.megan_R1.fq.gz (503M)

  • MD5: d8f891faeead968fa5b4fdb6a9c26d21

• 20230730.mmag.CH07-08.trimmed.megan_R2.fq.gz (513M)

  • MD5: 98340e3ca008cf97fe240469b5c0f6f5

• 20230730.mmag.CH07-11.trimmed.megan_R1.fq.gz (349M)

  • MD5: 8ffcad6e64dd7d1b12c1739767425ec1

• 20230730.mmag.CH07-11.trimmed.megan_R2.fq.gz (350M)

  • MD5: 4b2673c0f02e48db0acbb847a4fb6dab

• 20230730.mmag.CH07-24.trimmed.megan_R1.fq.gz (378M)

  • MD5: cdd6d93b54fd40b135f4545474d9f837

• 20230730.mmag.CH07-24.trimmed.megan_R2.fq.gz (384M)

  • MD5: 3229af42be57da29f13cad72f1f99523

• 20230730.mmag.CH09-02.trimmed.megan_R1.fq.gz (215M)

  • MD5: 4328a6e6194fb6417dcc9cb61d3f0a72

• 20230730.mmag.CH09-02.trimmed.megan_R2.fq.gz (219M)

  • MD5: 74c58ba1072a61ea3e75b83342589830

• 20230730.mmag.CH09-13.trimmed.megan_R1.fq.gz (263M)

  • MD5: a748a887a31a327d90bb80550c4e2e40

• 20230730.mmag.CH09-13.trimmed.megan_R2.fq.gz (265M)

  • MD5: 7d81df73ba6dc5bbe3457bf973ede371

• 20230730.mmag.CH09-28.trimmed.megan_R1.fq.gz (191M)

  • MD5: 67d2237f163289bc2b962e52c21562cc

• 20230730.mmag.CH09-28.trimmed.megan_R2.fq.gz (190M)

  • MD5: 088a69aaf3371a0a6e16ab63e67146e2

• 20230730.mmag.CH10-08.trimmed.megan_R1.fq.gz (305M)

  • MD5: e61fb563e027256c0d45144bb3c89b78

• 20230730.mmag.CH10-08.trimmed.megan_R2.fq.gz (312M)

  • MD5: 426403c8c8cb8275c84bdca3635b3186

• 20230730.mmag.CH10-11.trimmed.megan_R1.fq.gz (259M)

  • MD5: 8e5dc9bc9d058b23cefec0e4d03f2cde

• 20230730.mmag.CH10-11.trimmed.megan_R2.fq.gz (260M)

  • MD5: e894988fd6467f8263f40e5946e3fe88