GCTT | GCTT Go Chinese translation team | Translation library

via a program I have received the following pattern count.

Counter({'CCCC': 22115, 'TTTT': 22043, 'AAAA': 22037, 'GGGG': 21930, 'AAAC': 154, 'TTAT': 152, 'CCCA': 152, 'CCTC': 152, 'GGGC': 151, 'TTTG': 150, 'GTGG': 149, 'GCCC': 148, 'CCGC': 145, 'CGGG': 145, 'TGGG': 144, 'AGAA': 144, 'TTGT': 144, 'GAAA': 142, 'CCCG': 142, 'CCCT': 142, 'TCCC': 141, 'CAAA': 139, 'ATTT': 137, 'CGCC': 134, 'GGTG': 133, 'GAGG': 133, 'TTTA': 132, 'CTTT': 131, 'TCTT': 131, 'ACCC': 130, 'AGGG': 130, 'GGAG': 129, 'AACA': 129, 'TAAA': 129, 'TATT': 128, 'TTTC': 128, 'AAGA': 127, 'GGGA': 126, 'ACAA': 126, 'TTCT': 125, 'CTCC': 124, 'GCGG': 124, 'ATAA': 123, 'GGCG': 120, 'CACC': 119, 'AAAT': 118, 'AATA': 117, 'AAAG': 114, 'GTTT': 114, 'TGTT': 112, 'GGGT': 112, 'CCAC': 110, 'CGCG': 45, 'AACC': 43, 'TTAA': 41, 'CTCT': 41, 'GGCC': 41, 'ACTC': 40, 'CTTC': 40, 'GCCG': 39, 'ATTA': 39, 'ACCT': 39, 'TGCG': 39, 'ATAT': 39, 'TCTC': 38, 'ACGG': 38, 'TATA': 37, 'ATCA': 37, 'CGGC': 37, 'CGAG': 36, 'AGAG': 36, 'GACA': 35, 'GTTG': 35, 'TGAG': 35, 'TGGT': 35, 'CCAA': 35, 'TTGG': 34, 'GTGT': 34, 'GCGC': 34, 'CACA': 34, 'GTAA': 34, 'GTAG': 34, 'TCCA': 34, 'TCCT': 34, 'AAGG': 34, 'GAGA': 34, 'GCTT': 34, 'GTGC': 33, 'CTAT': 33, 'TTGC': 33, 'CGGA': 33, 'AGGA': 32, 'GACG': 32, 'AATT': 32, 'CAAC': 32, 'CTGC': 32, 'CTAC': 32, 'ACGA': 32, 'CGAC': 32, 'CCGG': 32, 'TCTG': 32, 'GGAA': 32, 'GGAT': 32, 'TGCT': 32, 'TTAG': 32, 'GCTG': 32, 'GAGT': 31, 'AGGC': 31, 'TTCC': 31, 'ATGA': 31, 'TTCA': 31, 'CCAT': 31, 'AAGT': 31, 'GAGC': 31, 'GTAT': 31, 'CGAA': 31, 'TCAT': 31, 'ATTC': 31, 'TGTG': 30, 'AGTT': 30, 'ATCC': 30, 'AGCA': 30, 'GTCT': 30, 'TGTC': 30, 'TCAC': 30, 'CACT': 30, 'ACTA': 30, 'TAAT': 30, 'CCGT': 30, 'CCTA': 29, 'TCGG': 29, 'GGTA': 29, 'TATG': 29, 'AACG': 29, 'CACG': 29, 'GATT': 29, 'ATCT': 29, 'TGGC': 29, 'AGCC': 29, 'TATC': 29, 'GCTC': 29, 'GGCT': 29, 'TCTA': 29, 'AACT': 28, 'CCTT': 28, 'CTTA': 28, 'TGTA': 28, 'TAGT': 28, 'AGTG': 28, 'CCGA': 27, 'AATG': 27, 'CCTG': 27, 'CTGT': 27, 'AGTC': 27, 'GTCC': 27, 'GGTT': 27, 'ACAC': 26, 'TACC': 26, 'CATC': 26, 'CATA': 26, 'GTGA': 26, 'TGAA': 26, 'GGTC': 26, 'CTTG': 26, 'GCAC': 26, 'GGCA': 26, 'CGTC': 26, 'CTGG': 26, 'TAAG': 26, 'TCGT': 26, 'TGAT': 25, 'CAGA': 25, 'GAAC': 25, 'ACCA': 25, 'TTAC': 25, 'CATT': 25, 'AGAT': 25, 'CGGT': 25, 'ATTG': 25, 'TTGA': 25, 'GATA': 24, 'GGAC': 24, 'AAGC': 24, 'GTCA': 24, 'CAAT': 24, 'GCAG': 24, 'ACAT': 24, 'TGCC': 24, 'ATAG': 24, 'CGTG': 24, 'CGCA': 24, 'TAGG': 23, 'ACCG': 23, 'TTCG': 23, 'AGCG': 23, 'GTTC': 23, 'ACTT': 23, 'CGTT': 23, 'AGAC': 23, 'GCAT': 22, 'TCCG': 22, 'TAAC': 22, 'ACGC': 22, 'CAGC': 22, 'GACC': 22, 'CATG': 22, 'TCGA': 22, 'TAGA': 22, 'GCAA': 22, 'CTCG': 22, 'TACT': 22, 'AATC': 21, 'CGCT': 21, 'GAAT': 21, 'GCGT': 21, 'AGTA': 21, 'GCCA': 21, 'ATGG': 21, 'TCAA': 21, 'CTCA': 21, 'TGGA': 20, 'GAAG': 20, 'GATC': 20, 'TGCA': 20, 'GCCT': 19, 'GTCG': 19, 'CAAG': 19, 'TCGC': 19, 'CTGA': 19, 'GATG': 19, 'CTAA': 19, 'GCGA': 19, 'ATAC': 18, 'GTTA': 18, 'GCTA': 18, 'AGGT': 18, 'CCAG': 18, 'ACAG': 18, 'CTAG': 17, 'CGTA': 17, 'ACGT': 17, 'TACA': 17, 'AGCT': 16, 'CAGG': 16, 'ATGT': 16, 'ATCG': 16, 'ATGC': 15, 'TGAC': 14, 'TAGC': 14, 'ACTG': 14, 'TCAG': 14, 'CGAT': 14, 'TACG': 13, 'CAGT': 11, 'GTAC': 10, 'GACT': 9})

I want to convert it now as a list, so that in the first column "AAAA" there are all corresponding values and so also for all combinations. Does anyone have an idea how to program this well?

This is how I read the data into R:

daten <- read.table("/PATTERN.txt", header = FALSE, sep = "\t");

So far I've tried direct reading, but somehow it doesn't really work. It should look like this:

AAAA CCCC

1 22128 22127

Thank you very much!

This is for a class assignment. I'm new to coding and was advised to use Python since it is easier to deal with. The point of the assignment is to take a list of kmers and assemble the superstring, in this case DNA nucleotides and assemble the DNA sequence. We need to use the Euler path (algorithm), which I still haven't figured out to do. Right now I'm working on, one trying to load my kmer list to Python (haven't figured that out yet) and building the de Bruijn graph. NOTE: I'm not loading the list of kmers since I haven't figured out how to do that yet. This is just a random string of DNA that I'm typing in.

Here is my code: