Thanks for this beautiful tutorial, But please how do i incoorporate tis in jupyter notebook

I am not from chemistry biology background but still interested can I learn

amazing series!! thank you:)

this is one of the most information rich tutorial channels that I've ever seen

Is test_dno = bio_seq() called 'assigning an import to a variable' or 'assigning a class to a variable?' or, more generally: what is it called?

Currently running all these code in a decentralised Cartesi VM for a side project. Thanks for these videos

junior bioengineer here thank u so much u helped me a lot <3

Nice video man but please, I thought the other way for summing odd numbers was range(start, end, count)🥺

Thank you!

My brother, dictionaries have a values method so you don't have to write that long list comprehension

def hamming_distance(string1, string2): return sum( [ string1[i] != string2[i] for i in range(len(string1)) if len(string1)==len(string2)])

I get the error: no module named DNAToolkit - I tried installing the DNA toolkit from PIP, and I thought it would work, but still giving me the same error. I copied the code, from what I could tell, exactly. Any thoughts?

am i the only one who tried all the possible solutions but the script either give me a 100% if the string only contains G and C or 0% if else !

Hello, i have this problem, it gave me this output {'A': 16, 'C': 12, 'T': 6, 'G': 16} while I entered the dictionary in this order {"A": 0, "C": 0, "G": 0, "T": 0} why it switches the T and the G order in the output ?? please help me cuz I'm stuck here thanks

I am unable to get correct answers all my answers are wrong. Please help.

please share the gitlab link.

Wow all in one channel its pretty cool ❤

Excelent videos, i really apretiate that you give us this quality content, as a biology student who is also learning to code you have showed me a part of biology that i never knew it existed, thank you

Haven't reached this video yet, but seeing as you said this would be a longer series than DNA toolkit, I presume you're on some sort of hiatus. Just here to say your videos are a great benefit to all of us watching, hope you resume this series sometime soon.

Hello, thank you for sharing these intriguing videos. I have a question regarding copying the whole fasta code into a unique single line. Could you please explain how that process works?

what is this interface in which youre working ? thanks

Thank you for this series, it was ready easy to follow along!

impossible to watch, f**k yt

Please do more useful information about bioinformatics

I want to work in the longevity and anti aging field, this will be a useful resource. Thanks

jesus, i'm in love with this playlist. thank you so much <3

Hi, I can't find the third video of the series Bioinformatics Tools Programming in Python with Qt. Have you deleted it?

I'm studying with your videos. but when I print result, It show different result when I runned. If the random result tart from G, dictionry's result shows also G. Is it OK? If I use join list comprehension, how could I know which one is A or G or C or T ?? If I like to make a dic list start from A, C, G and T , how to make a code...?

thank you sir

thank you

I forgot to remove the ''>" initially and it kept getting marked incorrect on Rosalind. Thanks for pointing this out!

On the Rosalind channel, they had really elegant python solutions in the comments after the exercise. This one was only one line of code to accomplish this task. Thanks for introducing us to this site! print(list(DNAstring.count(nuc) for nuc in 'ACGT'))

thank you very much

thank you sir

hello thumbs up to all the dna toolkits tutorials, I'm about to create a virtual environment but got stuck. I need help. I want to join the online forum but unfortunately it requires an invite code to sign up

Thank you, I like the pace of the teaching and the relevant examples used for bioinformatics.

9:11 absolutely... I never liked programming, and always hated the stupid programs my instructors would usually give. The truth is that I just never saw much of an important problem worth the efforts of coding, that's challenging and rewarding

Very cool videos. Thank you for making and sharing them. Look forward to the next one in this series.

nice!

Actually, I think in the section of working with files, we add start = 1 in enumerare function, this is much better to understand.

I love your veido, it's amazing, especially rosalind, learning python to solve interesting and practical question is meaningful.

How do you do a bulk rename at 6:59? edit: Okay I see you do it by right clicking on the word you wish to rename and hitting rename symbol.

Thank you for making this video, I have been wanting to start using Visual Studio. So far, I have only used PyCharm. I am very much a beginner with programming so help with set up is very much appreciated.

Is Python used for Lipidomics or metabolomics data analysis?

Is this tutorial closed??

I just want to share some notes I have. There is probably a more efficient way for this to be done, but I figured out a way to do transcription and make a reverse complement for a given DNA sequence. Transcription for a given sequence: main: # DNA Toolset/Code testing file from DNAToolkit import * #this line here is where to put the code to be transcriped givenDNAStr = "AGTC" DNAStr = validateSeq(givenDNAStr) print(transcription(DNAStr)) DNATool kit: Nucleotides = ["A", "C", "G", "T"] # Check the sequence to make sure it is a DNA string def validateSeq(dna_Seq): tmpseq = dna_Seq.upper() for nuc in tmpseq: if nuc not in Nucleotides: return False return tmpseq def transcription(seq): # DNA to RNA a process known as transcription return seq.replace("T", "U") For a reverse complement of a given DNA sequence: main: # DNA Toolset/Code testing file from DNAToolkit import * # insert a desired sequence for complement: givenDNAStr = 'AGTC' DNAStr = validateSeq(givenDNAStr) print(f' DNA sequence: {DNAStr} ') print(f'Complementary DNA sequence: {reverse_complement(DNAStr)} ') DNATool kit: Nucleotides = ["A", "C", "G", "T"] DNA_ReverseComplement = {'A': 'T', 'T': 'A', 'G': 'C', 'C': "G"} # I am not sure what this line of code is doing, but the results won't run in the terminal without it def validateSeq(dna_Seq): tmpseq = dna_Seq.upper() for nuc in tmpseq: if nuc not in Nucleotides: return False return tmpseq def reverse_complement(seq): return ''.join([DNA_ReverseComplement[nuc] for nuc in seq])

Great video. Thanks. For this function, I tried iterating the aa sequence from the end. Mark the current "_" as an end. Append every seq with newly found “M” to proteins[]. It seems less time and space used.

for the line rfs = gen_reading_frames(seq[startRead: endRead]), I get startRead, endRead not defined I tried startReadPos, endReadPos but that didn't work either. Are these built in functions from a module I am missing or am I just being an idiot?

Hello, thanks for this course about Bioinformatics. I noticed that only one strand from DNA is transcribed and translated, but I suppose your video with the both strands is only included in the function for additional information? Best!

Good tutorial, I wanted to ask if I wanted to build a project that does DNA alignment, do you have any recommendations on tutorials or step by steps? (Ideally I would prefer a tutorial of yours - enjoyed your videos)